CA2655252C - Method and system for rule-based sequencing for qos - Google Patents

Method and system for rule-based sequencing for qos Download PDF

Info

Publication number
CA2655252C
CA2655252C CA2655252A CA2655252A CA2655252C CA 2655252 C CA2655252 C CA 2655252C CA 2655252 A CA2655252 A CA 2655252A CA 2655252 A CA2655252 A CA 2655252A CA 2655252 C CA2655252 C CA 2655252C
Authority
CA
Canada
Prior art keywords
data
network
component
priority
certain embodiments
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Expired - Fee Related
Application number
CA2655252A
Other languages
French (fr)
Other versions
CA2655252A1 (en
Inventor
Donald L. Smith
Anthony P. Galluscio
Robert J. Knazik
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Harris Global Communications Inc
Original Assignee
Harris Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Family has litigation
First worldwide family litigation filed litigation Critical https://patents.darts-ip.com/?family=38669925&utm_source=google_patent&utm_medium=platform_link&utm_campaign=public_patent_search&patent=CA2655252(C) "Global patent litigation dataset” by Darts-ip is licensed under a Creative Commons Attribution 4.0 International License.
Application filed by Harris Corp filed Critical Harris Corp
Publication of CA2655252A1 publication Critical patent/CA2655252A1/en
Application granted granted Critical
Publication of CA2655252C publication Critical patent/CA2655252C/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L47/00Traffic control in data switching networks
    • H04L47/50Queue scheduling
    • H04L47/62Queue scheduling characterised by scheduling criteria
    • H04L47/625Queue scheduling characterised by scheduling criteria for service slots or service orders
    • H04L47/6275Queue scheduling characterised by scheduling criteria for service slots or service orders based on priority
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L47/00Traffic control in data switching networks
    • H04L47/10Flow control; Congestion control
    • H04L47/24Traffic characterised by specific attributes, e.g. priority or QoS
    • H04L47/2416Real-time traffic
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L47/00Traffic control in data switching networks
    • H04L47/10Flow control; Congestion control
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L47/00Traffic control in data switching networks
    • H04L47/10Flow control; Congestion control
    • H04L47/24Traffic characterised by specific attributes, e.g. priority or QoS
    • H04L47/2408Traffic characterised by specific attributes, e.g. priority or QoS for supporting different services, e.g. a differentiated services [DiffServ] type of service
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L47/00Traffic control in data switching networks
    • H04L47/10Flow control; Congestion control
    • H04L47/24Traffic characterised by specific attributes, e.g. priority or QoS
    • H04L47/2425Traffic characterised by specific attributes, e.g. priority or QoS for supporting services specification, e.g. SLA
    • H04L47/2433Allocation of priorities to traffic types
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L47/00Traffic control in data switching networks
    • H04L47/50Queue scheduling
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L47/00Traffic control in data switching networks
    • H04L47/50Queue scheduling
    • H04L47/62Queue scheduling characterised by scheduling criteria
    • H04L47/622Queue service order
    • H04L47/6225Fixed service order, e.g. Round Robin
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L47/00Traffic control in data switching networks
    • H04L47/50Queue scheduling
    • H04L47/62Queue scheduling characterised by scheduling criteria
    • H04L47/622Queue service order
    • H04L47/6235Variable service order
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L47/00Traffic control in data switching networks
    • H04L47/50Queue scheduling
    • H04L47/62Queue scheduling characterised by scheduling criteria
    • H04L47/6285Provisions for avoiding starvation of low priority queues
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00Network architectures or network communication protocols for network security
    • H04L63/02Network architectures or network communication protocols for network security for separating internal from external traffic, e.g. firewalls
    • H04L63/0227Filtering policies
    • H04L63/0263Rule management

Abstract

Certain embodiments of the present invention provide a method (600) for communicating data over a network to provide Quality of Service. The method (600) includes receiving data over a network, prioritizing the data, and communicating the data based at least in part on the priority. The step of prioritizing the data includes sequencing the data based at least in part on a user defined rule. Certain embodiments of the present invention provide a system (500) for communicating data including a data prioritization component (560, 700) and a data communications component (580). The data prioritization component (560, 700) is adapted to prioritize data. The data prioritization component (560, 700) includes a sequencing component (566, 720). The sequencing component (566, 720) is adapted to sequence the data based at least in part on a user defined rule. The data communications component (580) is adapted to communicate the data based at least in part on the priority.

Description

METHOD AND SYSTEM FOR RULE-BASED SEQUENCING FOR QoS
The present invention generally relates to communications networks.
More particularly, the present invention relates to systems and methods for rule-based sequencing for Quality of Service.
Communications networks are utilized in a variety of environments.
Communications networks typically include two or more nodes connected by one or more links. Generally, a communications network is used to support communication between two or more participant nodes over the links and intermediate nodes in the communications network. There may be many kinds of nodes in the network. For example, a network may include nodes such as clients, servers, workstations, switches, and/or routers. Links may be, for example, modem connections over phone lines, wires, Ethernet links, Asynchronous Transfer Mode (ATM) circuits, satellite links, and/or fiber optic cables.
A communications network may actually be composed of one or more smaller communications networks. For example, the Internet is often described as network of interconnected computer networks. Each network may utilize a different architecture and/or topology. For example, one network may be a switched Ethernet network with a star topology and another network may be a Fiber-Distributed Data Interface (FDDI) ring.
Communications networks may carry a wide variety of data. For example, a network may carry bulk file transfers alongside data for interactive real-time conversations. The data sent on a network is often sent in packets, cells, or frames. Alternatively, data may be sent as a stream. In some instances, a stream or flow of data may actually be a sequence of packets. Networks such as the Internet provide general purpose data paths between a range of nodes and carrying a vast array of data with different requirements.
Communication over a network typically involves multiple levels of communication protocols. A protocol stack, also referred to as a networking stack or protocol suite, refers to a collection of protocols used for communication.
Each protocol may be focused on a particular type of capability or form of communication.
For example, one protocol may be concerned with the electrical signals needed to communicate with devices connected by a copper wire. Other protocols may address ordering and reliable transmission between two nodes separated by many intermediate nodes, for example.
Protocols in a protocol stack typically exist in a hierarchy. Often, protocols are classified into layers. One reference model for protocol layers is the Open Systems Interconnection (OSI) model. The OSI reference model includes seven layers: a physical layer, data liffl( layer, network layer, transport layer, session layer, presentation layer, and application layer. The physical layer is the "lowest"
layer, while the application layer is the "highest" layer. Two well-known transport layer protocols are the Transmission Control Protocol (TCP) and User Datagram Protocol (UDP). A well known network layer protocol is the Internet Protocol (IP).
At the transmitting node, data to be transmitted is passed down the layers of the protocol stack, from highest to lowest. Conversely, at the receiving node, the data is passed up the layers, from lowest to highest. At each layer, the data may be manipulated by the protocol handling communication at that layer. For example, a transport layer protocol may add a header to the data that allows for ordering of packets upon arrival at a destination node. Depending on the application, some layers may not be used, or even present, and data may just be passed through.
One kind of communications network is a tactical data network. A
tactical data network may also be referred to as a tactical communications network. A
tactical data network may be utilized by units within an organization such as a military (e.g., army, navy, and/or air force). Nodes within a tactical data network may include, for example, individual soldiers, aircraft, command units, satellites, and/or radios. A tactical data network may be used for communicating data such as voice, position telemetry, sensor data, and/or real-time video.
An example of how a tactical data network may be employed is as follows. A logistics convoy may be in-route to provide supplies for a combat unit in the field. Both the convoy and the combat unit may be providing position telemetry
-2-to a command post over satellite radio links. An unmanned aerial vehicle (UAV) may be patrolling along the road the convoy is taking and transmitting real-time video data to the command post over a satellite radio link also. At the command post, an analyst may be examining the video data while a controller is tasking the UAV to provide video for a specific section of road. The analyst may then spot an improvised explosive device (IED) that the convoy is approaching and send out an order over a direct radio link to the convoy for it to halt and alerting the convoy to the presence of the IED.
The various networks that may exist within a tactical data network may have many different architectures and characteristics. For example, a network in a command unit may include a gigabit Ethernet local area network (LAN) along with radio links to satellites and field units that operate with much lower throughput and higher latency. Field units may communicate both via satellite and via direct path radio frequency (RF). Data may be sent point-to-point, multicast, or broadcast, depending on the nature of the data and/or the specific physical characteristics of the network. A network may include radios, for example, set up to relay data. In addition, a network may include a high frequency (HF) network which allows long rang communication. A microwave network may also be used, for example. Due to the diversity of the types of links and nodes, among other reasons, tactical networks often have overly complex network addressing schemes and routing tables. In addition, some networks, such as radio-based networks, may operate using bursts.
That is, rather than continuously transmitting data, they send periodic bursts of data.
This is useful because the radios are broadcasting on a particular channel that must be shared by all participants, and only one radio may transmit at a time.
Tactical data networks are generally bandwidth-constrained. That is, there is typically more data to be communicated than bandwidth available at any given point in time. These constraints may be due to either the demand for bandwidth exceeding the supply, and/or the available communications technology not supplying enough bandwidth to meet the user's needs, for example. For example, between some nodes, bandwidth may be on the order of kilobits/sec. In bandwidth-constrained
-3-tactical data networks, less important data can clog the network, preventing more important data from getting through in a timely fashion, or even arriving at a receiving node at all. In addition, portions of the networks may include internal buffering to compensate for unreliable links. This may cause additional delays.
Further, when the buffers get full, data may be dropped.
In many instances the bandwidth available to a network cannot be increased. For example, the bandwidth available over a satellite communications liffl( may be fixed and cannot effectively be increased without deploying another satellite.
In these situations, bandwidth must be managed rather than simply expanded to handle demand. In large systems, network bandwidth is a critical resource. It is desirable for applications to utilize bandwidth as efficiently as possible. In addition, it is desirable that applications avoid "clogging the pipe," that is, overwhelming links with data, when bandwidth is limited. When bandwidth allocation changes, applications should preferably react. Bandwidth can change dynamically due to, for example, quality of service, jamming, signal obstruction, priority reallocation, and line-of-sight. Networks can be highly volatile and available bandwidth can change dramatically and without notice.
In addition to bandwidth constraints, tactical data networks may experience high latency. For example, a network involving communication over a satellite link may incur latency on the order of half a second or more. For some communications this may not be a problem, but for others, such as real-time, interactive communication (e.g., voice communications), it is highly desirable to minimize latency as much as possible.
Another characteristic common to many tactical data networks is data loss. Data may be lost due to a variety of reasons. For example, a node with data to send may be damaged or destroyed. As another example, a destination node may temporarily drop off of the network. This may occur because, for example, the node has moved out of range, the communication's link is obstructed, and/or the node is being jammed. Data may be lost because the destination node is not able to receive it and intermediate nodes lack sufficient capacity to buffer the data until the destination
-4-
5 PCT/US2007/071197 node becomes available. Additionally, intermediate nodes may not buffer the data at all, instead leaving it to the sending node to determine if the data ever actually arrived at the destination.
Often, applications in a tactical data network are unaware of and/or do not account for the particular characteristics of the network. For example, an application may simply assume it has as much bandwidth available to it as it needs.
As another example, an application may assume that data will not be lost in the network. Applications which do not take into consideration the specific characteristics of the underlying communications network may behave in ways that actually exacerbate problems. For example, an application may continuously send a stream of data that could just as effectively be sent less frequently in larger bundles.
The continuous stream may incur much greater overhead in, for example, a broadcast radio network that effectively starves other nodes from communicating, whereas less frequent bursts would allow the shared bandwidth to be used more effectively.
Certain protocols do not work well over tactical data networks. For example, a protocol such as TCP may not function well over a radio-based tactical network because of the high loss rates and latency such a network may encounter.
TCP requires several forms of handshaking and acknowledgments to occur in order to send data. High latency and loss may result in TCP hitting time outs and not being able to send much, if any, meaningful data over such a network.
Information communicated with a tactical data network often has various levels of priority with respect to other data in the network. For example, threat warning receivers in an aircraft may have higher priority than position telemetry information for troops on the ground miles away. As another example, orders from headquarters regarding engagement may have higher priority than logistical communications behind friendly lines. The priority level may depend on the particular situation of the sender and/or receiver. For example, position telemetry data may be of much higher priority when a unit is actively engaged in combat as compared to when the unit is merely following a standard patrol route.
Similarly, real-time video data from an UAV may have higher priority when it is over the target area as opposed to when it is merely in-route.
There are several approaches to delivering data over a network. One approach, used by many communications networks, is a "best effort" approach.
That is, data being communicated will be handled as well as the network can, given other demands, with regard to capacity, latency, reliability, ordering, and errors.
Thus, the network provides no guarantees that any given piece of data will reach its destination in a timely manner, or at all. Additionally, no guarantees are made that data will arrive in the order sent or even without transmission errors changing one or more bits in the data.
Another approach is Quality of Service (QoS). QoS refers to one or more capabilities of a network to provide various forms of guarantees with regard to data that is carried. For example, a network supporting QoS may guarantee a certain amount of bandwidth to a data stream. As another example, a network may guarantee that packets between two particular nodes have some maximum latency. Such a guarantee may be useful in the case of a voice communication where the two nodes are two people having a conversation over the network. Delays in data delivery in such a case may result in irritating gaps in communication and/or dead silence, for example.
QoS may be viewed as the capability of a network to provide better service to selected network traffic. The primary goal of QoS is to provide priority including dedicated bandwidth, controlled jitter and latency (required by some real-time and interactive traffic), and improved loss characteristics. Another important goal is making sure that providing priority for one flow does not make other flows fail. That is, guarantees made for subsequent flows must not break the guarantees made to existing flows.
Current approaches to QoS often require every node in a network to support QoS, or, at the very least, for every node in the network involved in a particular communication to support QoS. For example, in current systems, in order to provide a latency guarantee between two nodes, every node carrying the traffic
-6-between those two nodes must be aware of and agree to honor, and be capable of honoring, the guarantee.
There are several approaches to providing QoS. One approach is Integrated Services, or "IntServ." IntServ provides a QoS system wherein every node in the network supports the services and those services are reserved when a connection is set up. IntServ does not scale well because of the large amount of state information that must be maintained at every node and the overhead associated with setting up such connections.
Another approach to providing QoS is Differentiated Services, or "DiffServ." DiffServ is a class of service model that enhances the best-effort services of a network such as the Internet. DiffServ differentiates traffic by user, service requirements, and other criteria. Then, DiffServ marks packets so that network nodes can provide different levels of service via priority queuing or bandwidth allocation, or by choosing dedicated routes for specific traffic flows. Typically, a node has a variety of queues for each class of service. The node then selects the next packet to send from those queues based on the class categories.
Existing QoS solutions are often network specific and each network type or architecture may require a different QoS configuration. Due to the mechanisms existing QoS solutions utilize, messages that look the same to current QoS systems may actually have different priorities based on message content.
However, data consumers may require access to high-priority data without being flooded by lower-priority data. Existing QoS systems cannot provide QoS based on message content at the transport layer.
As mentioned, existing QoS solutions require at least the nodes involved in a particular communication to support QoS. However, the nodes at the "edge" of network may be adapted to provide some improvement in QoS, even if they are incapable of making total guarantees. Nodes are considered to be at the edge of the network if they are the participating nodes in a communication (i.e., the transmitting and/or receiving nodes) and/or if they are located at chokepoints in the network. A chokepoint is a section of the network where all traffic must pass to
-7-Document WO/00/08817 discloses a system and a method for filtering data using layered rule tables and data element locators. The system disclosed therein = operates upon data elements in a block of input data using the layered rule tables to classify or filter the data elements. The input data are packets, and a data element is a protocol element in the packet.
Document EP-A-1 622 322 discloses a classification procedure of frames by priorities for the support of any communication system carrying out the sending with distinction of service classes, where the frame consists of a level 2 packet of the OSI architecture, including headers and tails. This procedure is characterized by the application of multiple rules, where each rule is associated with multiple subrules of priorities independent among each rule, in order to analyze the content of each frame and assign a priority to the frame as a function of that analysis.
=
7a AMENDED SHEET

. .t..

Summary of the Invention The present invention provides a method for communicating data over a network to provide quality of service, the method including the steps of receiving data over a network; prioritizing the data by assigning a priority to the data, including sequencing the data based at least in part on a user defined rule;
metering inbound and outbound data at and determining effective link speed and proportion for the at least one link; and communicating the data based at least in part on the priority of the data and the effective link speed and proportion.
The present invention also provides a system for communicating data, the system including a data prioritization component adapted to prioritize data by =
assigning a priority to the data, wherein the prioritization component includes a sequencing component adapted to sequence the data based at least in part on a user defined rule; and a data metering component adapted meter inbound and outbound data at and to determine effective link speed and proportion for the at least one link; a data communication component adapted to communicate the data based at least in part on the priority of the data and-the effective link speed and proportion.
7b AMENDED SHEET

another portion. For example, a router or gateway from a LAN to a satellite link would be a choke point, since all traffic from the LAN to any nodes not on the LAN
must pass through the gateway to the satellite link.
Thus, there is a need for systems and methods providing QoS in a tactical data network. There is a need for systems and methods for providing QoS on the edge of a tactical data network. Additionally, there is a need for adaptive, configurable QoS systems and methods in a tactical data network.
Certain embodiments of the present invention provide a method for communicating data over a network to provide Quality of Service. The method includes receiving data over a network, prioritizing the data, and communicating the data based at least in part on the priority. The step of prioritizing the data includes sequencing the data based at least in part on a user defined rule.
Certain embodiments of the present invention provide a system for communicating data including a data prioritization component and a data communications component. The data prioritization component is adapted to prioritize data. The data prioritization component includes a sequencing component.
The sequencing component is adapted to sequence the data based at least in part on a user defined rule. The data communications component is adapted to communicate the data based at least in part on the priority.
Certain embodiments of the present invention provide a computer-readable medium including a set of instructions for execution on a computer, the set of instructions including a data prioritization routine and a data communications routine. The data prioritization routine is configured to prioritize data. The data prioritization routine includes a sequencing routine. The sequencing routine is configured to sequence the data based at least in part on a user defined rule.
The data communications routine is configured to communicate the data based at least in part on the priority.
Fig. 1 illustrates a tactical communications network environment operating with an embodiment of the present invention.
-8-Fig. 2 shows the positioning of the data communications system in the seven layer OSI network model in accordance with an embodiment of the present invention.
Fig. 3 depicts an example of multiple networks facilitated using the data communications system in accordance with an embodiment of the present invention.
Fig. 4 depicts several examples of data priority and network status utilized by a data communications system in accordance with an embodiment of the present invention.
Fig. 5 illustrates a data communications system operating within a data communications environment according to an embodiment of the present invention.
Fig. 6 illustrates a flow diagram of a method for data communications in accordance with an embodiment of the present invention.
Fig. 7 illustrates a system for prioritizing data according to an embodiment of the present invention.
Fig. 8 illustrates a method for prioritizing data according to an embodiment of the present invention.
The foregoing summary, as well as the following detailed description of certain embodiments of the present invention, will be better understood when read in conjunction with the appended drawings. For the purpose of illustrating the invention, certain embodiments are shown in the drawings. It should be understood, however, that the present invention is not limited to the arrangements and instrumentality shown in the attached drawings.
Fig. 1 illustrates a tactical communications network environment 100 operating with an embodiment of the present invention. The network environment 100 includes a plurality of communication nodes 110, one or more networks 120, one or more links 130 connecting the nodes and network(s), and one or more communication systems 150 facilitating communication over the components of the network environment 100. The following discussion assumes a network environment
-9-100 including more than one network 120 and more than one liffl( 130, but it should be understood that other environments are possible and anticipated.
Communication nodes 110 may be and/or include radios, transmitters, satellites, receivers, workstations, servers, and/or other computing or processing devices, for example.
Network(s) 120 may be hardware and/or software for transmitting data between nodes 110, for example. Network(s) 120 may include one or more nodes 110, for example.
Link(s) 130 may be wired and/or wireless connections to allow transmissions between nodes 110 and/or network(s) 120.
The communications system 150 may include software, firmware, and/or hardware used to facilitate data transmission among the nodes 110, networks 120, and links 130, for example. As illustrated in Fig. 1, communications system 150 may be implemented with respect to the nodes 110, network(s) 120, and/or links 130.
In certain embodiments, every node 110 includes a communications system 150.
In certain embodiments, one or more nodes 110 include a communications system 150.
In certain embodiments, one or more nodes 110 may not include a communications system 150.
The communication system 150 provides dynamic management of data to help assure communications on a tactical communications network, such as the network environment 100. As shown in Fig. 2, in certain embodiments, the system 150 operates as part of and/or at the top of the transport layer in the OSI
seven layer protocol model. The system 150 may give precedence to higher priority data in the tactical network passed to the transport layer, for example. The system 150 may be used to facilitate communications in a single network, such as a local area network (LAN) or wide area network (WAN), or across multiple networks. An example of a multiple network system is shown in Fig. 3. The system 150 may be used to manage available bandwidth rather than add additional bandwidth to the network, for example.
-10-In certain embodiments, the system 150 is a software system, although the system 150 may include both hardware and software components in various embodiments. The system 150 may be network hardware independent, for example.
That is, the system 150 may be adapted to function on a variety of hardware and software platforms. In certain embodiments, the system 150 operates on the edge of the network rather than on nodes in the interior of the network. However, the system 150 may operate in the interior of the network as well, such as at "choke points" in the network.
The system 150 may use rules and modes or profiles to perform throughput management functions such as optimizing available bandwidth, setting information priority, and managing data links in the network. By "optimizing"
bandwidth, it is meant that the presently described technology can be employed to increase an efficiency of bandwidth use to communicate data in one or more networks. Optimizing bandwidth usage may include removing functionally redundant messages, message stream management or sequencing, and message compression, for example. Setting information priority may include differentiating message types at a finer granularity than Internet Protocol (IP) based techniques and sequencing messages onto a data stream via a selected rule-based sequencing algorithm, for example. Data link management may include rule-based analysis of network measurements to affect changes in rules, modes, and/or data transports, for example.
A mode or profile may include a set of rules related to the operational needs for a particular network state of health or condition. The system 150 provides dynamic, "on-the-fly" reconfiguration of modes, including defining and switching to new modes on the fly.
The communication system 150 may be configured to accommodate changing priorities and grades of service, for example, in a volatile, bandwidth-limited network. The system 150 may be configured to manage information for improved data flow to help increase response capabilities in the network and reduce communications latency. Additionally, the system 150 may provide interoperability via a flexible architecture that is upgradeable and scalable to improve availability,
-11-survivability, and reliability of communications. The system 150 supports a data communications architecture that may be autonomously adaptable to dynamically changing environments while using predefined and predictable system resources and bandwidth, for example.
In certain embodiments, the system 150 provides throughput management to bandwidth-constrained tactical communications networks while remaining transparent to applications using the network. The system 150 provides throughput management across multiple users and environments at reduced complexity to the network. As mentioned above, in certain embodiments, the system 150 runs on a host node in and/or at the top of layer four (the transport layer) of the OSI seven layer model and does not require specialized network hardware. The system 150 may operate transparently to the layer four interface. That is, an application may utilize a standard interface for the transport layer and be unaware of the operation of the system 150. For example, when an application opens a socket, the system 150 may filter data at this point in the protocol stack. The system achieves transparency by allowing applications to use, for example, the TCP/IP
socket interface that is provided by an operating system at a communication device on the network rather than an interface specific to the system 150. System 150 rules may be written in extensible markup language (XML) and/or provided via custom dynamic link libraries (DLLs), for example.
In certain embodiments, the system 150 provides quality of service (QoS) on the edge of the network. The system's QoS capability offers content-based, rule-based data prioritization on the edge of the network, for example.
Prioritization may include differentiation and/or sequencing, for example. The system 150 may differentiate messages into queues based on user-configurable differentiation rules, for example. The messages are sequenced into a data stream in an order dictated by the user-configured sequencing rule (e.g., starvation, round robin, relative frequency, etc.). Using QoS on the edge, data messages that are indistinguishable by traditional QoS approaches may be differentiated based on message content, for example.
Rules may be implemented in XML, for example. In certain embodiments, to accommodate
-12-capabilities beyond XML and/or to support extremely low latency requirements, the system 150 allows dynamic link libraries to be provided with custom code, for example.
Inbound and/or outbound data on the network may be customized via the system 150. Prioritization protects client applications from high-volume, low-priority data, for example. The system 150 helps to ensure that applications receive data to support a particular operational scenario or constraint.
In certain embodiments, when a host is connected to a LAN that includes a router as an interface to a bandwidth-constrained tactical network, the system may operate in a configuration known as QoS by proxy. In this configuration, packets that are bound for the local LAN bypass the system and immediately go to the LAN. The system applies QoS on the edge of the network to packets bound for the bandwidth-constrained tactical link.
In certain embodiments, the system 150 offers dynamic support for multiple operational scenarios and/or network environments via commanded profile switching. A profile may include a name or other identifier that allows the user or system to change to the named profile. A profile may also include one or more identifiers, such as a functional redundancy rule identifier, a differentiation rule identifier, an archival interface identifier, a sequencing rule identifier, a pre-transmit interface identifier, a post-transmit interface identifier, a transport identifier, and/or other identifier, for example. A functional redundancy rule identifier specifies a rule that detects functional redundancy, such as from stale data or substantially similar data, for example. A differentiation rule identifier specifies a rule that differentiates messages into queues for processing, for example. An archival interface identifier specifies an interface to an archival system, for example. A sequencing rule identifier identifies a sequencing algorithm that controls samples of queue fronts and, therefore, the sequencing of the data on the data stream. A pre-transmit interface identifier specifies the interface for pre-transmit processing, which provides for special processing such as encryption and compression, for example. A post-transmit interface identifier identifies an interface for post-transmit processing, which provides
-13-for processing such as de-encryption and decompression, for example. A
transport identifier specifies a network interface for the selected transport.
A profile may also include other information, such as queue sizing information, for example. Queue sizing information identifiers a number of queues and amount of memory and secondary storage dedicated to each queue, for example.
In certain embodiments, the system 150 provides a rules-based approach for optimizing bandwidth. For example, the system 150 may employ queue selection rules to differentiate messages into message queues so that messages may be assigned a priority and an appropriate relative frequency on the data stream.
The system 150 may use functional redundancy rules to manage functionally redundant messages. A message is functionally redundant if it is not different enough (as defined by the rule) from a previous message that has not yet been sent on the network, for example. That is, if a new message is provided that is not sufficiently different from an older message that has already been scheduled to be sent, but has not yet been sent, the newer message may be dropped, since the older message will carry functionally equivalent information and is further ahead in the queue.
In addition, functional redundancy many include actual duplicate messages and newer messages that arrive before an older message has been sent. For example, a node may receive identical copies of a particular message due to characteristics of the underlying network, such as a message that was sent by two different paths for fault tolerance reasons. As another example, a new message may contain data that supersedes an older message that has not yet been sent. In this situation, the system 150 may drop the older message and send only the new message. The system 150 may also include priority sequencing rules to determine a priority-based message sequence of the data stream. Additionally, the system 150 may include transmission processing rules to provide pre-transmission and post-transmission special processing, such as compression and/or encryption.
In certain embodiments, the system 150 provides fault tolerance capability to help protect data integrity and reliability. For example, the system 150 may use user-defined queue selection rules to differentiate messages into queues. The
-14-queues are sized according to a user-defined configuration, for example. The configuration specifies a maximum amount of memory a queue may consume, for example. Additionally, the configuration may allow the user to specify a location and amount of secondary storage that may be used for queue overflow. After the memory in the queues is filled, messages may be queued in secondary storage. When the secondary storage is also full, the system 150 may remove the oldest message in the queue, logs an error message, and queues the newest message. If archiving is enabled for the operational mode, then the de-queued message may be archived with an indicator that the message was not sent on the network.
Memory and secondary storage for queues in the system 150 may be configured on a per-link basis for a specific application, for example. A
longer time between periods of network availability may correspond to more memory and secondary storage to support network outages. The system 150 may be integrated with network modeling and simulation applications, for example, to help identify sizing to help ensure that queues are sized appropriately and time between outages is sufficient to help achieve steady-state and help avoid eventual queue overflow.
Furthermore, in certain embodiments, the system 150 offers the capability to meter inbound ("shaping") and outbound ("policing") data.
Policing and shaping capabilities help address mismatches in timing in the network. Shaping helps to prevent network buffers form flooding with high-priority data queued up behind lower-priority data. Policing helps to prevent application data consumers from being overrun by low-priority data. Policing and shaping are governed by two parameters:
effective link speed and link proportion. The system 150 may form a data stream that is no more than the effective link speed multiplied by the link proportion, for example. The parameters may be modified dynamically as the network changes.
The system may also provide access to detected link speed to support application level decisions on data metering. Information provided by the system 150 may be combined with other network operations information to help decide what link speed is appropriate for a given network scenario.
-15-Figure 4 depicts several examples of data priority and network status utilized by a data communications system, such as the data communications system 150 of Figure 1 and/or the data communications system 550 of Figure 5, in accordance with an embodiment of the present invention. Although these examples are presented in the context of data communications between military aircraft over a low-bandwidth radio network, the data communications system may operate in a wide variety of data communications networks, such as the data communications network 120 and/or the data communications network 520, and/or data communications environments, such as the data communications environment 100 and/or the data communications environment 500.
Data may be assigned and/or associated with a priority. For example, the data priority may include "HIGH," "MED HIGH," "MED," "MED LOW," or "LOW," as illustrated in Figure 4. As another example, the data priority may include "KEEP PILOT ALIVE," "KILL ENEMY," or "INFORMATIONAL," also illustrated in Figure 4.
The data priority may be based at least in part on a type, category, and/or group of data. For example, types of data may include position data, emitter data for a near threat, next to shoot data, top-ten shoot list data, emitter data for a threat over one hundred miles away, situational awareness (SA) data from satellite communications (SATCOM), and general status data, as illustrated in Figure 4.
Additionally, the data may be grouped into categories, such as "KEEP PILOT
ALIVE," "KILL ENEMY," or "INFORMATIONAL," also as illustrated in Figure 4.
For example, "KEEP PILOT ALIVE" data, such as position data and emitter data for a near threat, may relate to the health and safety of a pilot. As another example, "KILL ENEMY" data, such as next to shoot data, top-ten shoot list data, and emitter data for a threat over one hundred miles away, may relate to combat systems.
As another example, "INFORMATIONAL" data, such as SA data from SATCOM and general status data, may relate to non-combat systems.
As described above, the data type, category, and/or group may be the same as and/or similar to the data priority. For example, "KEEP PILOT ALIVE"
-16-data, such as position data and emitter data for a near threat, may be associated with a priority of "KEEP PILOT ALIVE," which is more important than "KILL ENEMY"
data, such as next to shoot data, top-ten shoot list data, and emitter data for a threat over one hundred miles away, associated with a priority of "KILL ENEMY." As another example, "KILL ENEMY" data, such as next to shoot data, top-ten shoot list data, and emitter data for a threat over one hundred miles away, may be associated with a priority of "KILL ENEMY," which is more important than "INFORMATIONAL" data, such as SA data from SATCOM and general status data, associated with a priority of "INFORMATIONAL."
A status may be determined for a network. For example, the network status may include "BANDWIDTH CHALLENGED," "BANDWIDTH
CONSTRAINED," "DESIGN POINT BANDWIDTH," or "MAXIMUM
BANDWIDTH." These terms, in the order listed, indicate an increase in observed performance, which can be viewed as a decreasing amount of impairment in relation to an unimpaired link, a decreasing amount of shortfall due to substitution of less capable links, and/or a decreasing amount of shortfall in relation to a functional requirement. The network status may relate to the operating state or condition of the network. For example, a network status of "MAXIMUM BANDWIDTH" may indicate that all of the bandwidth is available for data transfer. As another example, a network status of "DESIGN POINT BANDWIDTH" may indicate that some bandwidth is being used, but the required amount of bandwidth to function normally is still available. As another example, "BANDWIDTH CHALLENGED" may indicate that there is more bandwidth being used than the system is designed.
At this point, problems may begin to arise. As another example, "BANDWIDTH
CONSTRAINED" may indicate that most of the bandwidth is being used and there is little or no bandwidth left. At this point, a system using a "BANDWIDTH
CONSTRAINED" network begins to fall apart. Although these examples are presented in the context of bandwidth, the network status may include a wide variety of other network characteristics, such as latency and/or jitter.
-17-The network status may change based at least in part on the network environment. For example, bandwidth may be affected by altitude, distance, and/or weather. If the aircraft are close together and the sky is clear, for example, then the network status may be "MAXIMUM BANDWIDTH" or "DESIGN POINT
BANDWIDTH." Conversely, if the aircraft are far apart and the sky is cloudy, for example, then the network status may be "BANDWIDTH CONSTRAINED" or "BANDWIDTH CHALLENGED."
The data may be communicated over a network based at least in part on the data priority and/or the network status. For example, if the status of a network is "BANDWIDTH CHALLENGED," then only data associated with a priority of "HIGH," such as position data and emitter data for a near threat, may be communicated over the network.
As another example, if the status of a network is "BANDWIDTH
CONSTRAINED," then data associated with a priority of "MED HIGH," such as next to shoot data, and "MED," such as top-ten shoot list data, may also be communicated over the network. That is, data associated with a priority of "HIGH," "MED
HIGH,"
and "MED" may be communicated over a network if the network status is "BANDWIDTH CONSTRAINED," as illustrated in Figure 4. In certain embodiments, the data may also be communicated in order of priority, for example, "HIGH," then "MED HIGH," then "MED."
As another example, if the status of a network is "DESIGN POINT
BANDWIDTH," then data with a priority of "MED LOW," such as emitter data for a threat over one hundred miles away and SA data from SATCOM, may also be communicated over the network. That is, data associated with a priority of "HIGH,"
"MED HIGH," "MED," and "MED LOW" may be communicated over a network if the network status is "DESIGN POINT BANDWIDTH," as illustrated in Figure 4. In certain embodiments, the data may also be communicated in order of priority, for example, "HIGH," then "MED HIGH," then "MED," then "MED LOW."
As another example, if the status of a network is "MAXIMUM
BANDWIDTH," then data associated with a priority of "LOW," such as general
-18-status data, may also be communicated over the network. That is, data associated with a priority of "HIGH," "MED HIGH," "MED," "MED LOW," and "LOW" may be communicated over the network if the network status is "MAXIMUM
BANDWIDTH," as illustrated in Figure 4. In certain embodiments, the data may also be communicated in order of priority, for example, "HIGH," then "MED HIGH,"
then "MED," then "MED LOW," then "LOW."
Figure 5 illustrates a data communications system 550 operating within a data communications environment 500 according to an embodiment of the present invention. The data communications environment 500, such as the data communications environment 100 of Figure 1, includes one or more nodes 510, such as the nodes 110, one or more networks 520, such as the networks 120, one or more links 530, such as the links 130, connecting the nodes 510 and the networks 520, and the data communications system 550, such as the data communications system 150, facilitating communication over the components of the data communications environment 500.
In certain embodiments, the data communications system 550 is adapted to receive, store, organize, prioritize, process, transmit, and/or communicate data. The data received, stored, organized, prioritized, processed, transmitted, and/or communicated by the data communications system 550 may include, for example, a block of data, such as a packet, cell, frame, and/or stream. For example, the data communications system 550 may receive packets of data from a node 510. As another example, the data communications system 550 may process a stream of data from a node 510.
The data communications system 550 includes a data prioritization component 560, a network analysis component 570, and a data communications component 580. In certain embodiments, the data prioritization component 560 may include a differentiation component 562, a sequencing component 566, and data organization component 568. The differentiation component 562 may include a differentiation rule identifier 563 and a functional redundancy rule set 565, as described above with respect to Figure 1. The sequencing component 566 may
-19-include a sequencing rule identifier 567, as described above with respect to Figure 1.
In certain embodiments, the network analysis component 570 may include a network analysis rule identifier 572 and network analysis data 574.
The data prioritization component 560 prioritizes data for communications over the network 520. More particularly, the data prioritization component 560 may prioritize the data based at least in part on prioritization rules and/or algorithms, such as differentiation, sequencing, and/or functional redundancy.
For example, as illustrated in Figure 4, position data and emitter data for a near threat may be associated with a priority of "HIGH," next to shoot data may be associated with a priority of "MED HIGH," top-ten shoot list data may be associated with a priority of "MED," emitter data for a threat over one hundred miles away and SA data from SATCOM may be associated with a priority of "MED LOW," and general status data may be assigned a priority of "LOW."
In certain embodiments, the priority of the data may be based at least in part on message content. For example, the data priority may be based at least in part on type of data, such as video, audio, telemetry, and/or position data.
As another example, the data priority may be based at least in part on the sending application and/or the sending user. For example, communications from a general may be assigned a higher priority than communications from a lower ranking officer.
In certain embodiments, the priority of the data is based at least in part on protocol information associated with and/or included in the data, such as a source address and/or a transport protocol. The protocol information may be similar to the protocol information described above, for example. For example, the data communications system 550 may determine a priority for a block of data based on the source address of the block of data. As another example, the data communications system 550 may determine a priority for a block of data based on the transport protocol used to communicate the block of data.
In certain embodiments, the data prioritization component 560 may include the differentiation component 562, the sequencing component 566, and the data organization component 568, which are described below.
-20-The differentiation component 562 differentiates data. In certain embodiments, the differentiation component 562 may differentiate the data based at least in part on the differentiation rule identifier 563. In certain embodiments, the differentiation component 562 may add data to the data organization component for communications over the network 520. For example, the differentiation component 562 may add the data to the data organization component 568 based at least in part on the differentiation rule identifier 563, as described above with respect to Figure 1.
In certain embodiments, the differentiation component 562 may differentiate the data based at least in part on message content and/or protocol information, as described above.
The differentiation rule identifier 563 identifies one or more differentiation rules and/or algorithms, such as queue selection, as described above with respect to Figure 1. In certain embodiments, the differentiation rules and/or algorithms may be user defined. In certain embodiments, the differentiation rules and/or algorithms may be written in XML or may be provided in one or more DLLs, as described above with respect to Figure 1.
In certain embodiments, the differentiation component 562 may remove and/or withhold data from the data organization component 568. For example, the differentiation component 562 may remove the data from the data organization component 568 based at least in part on the functional redundancy rule identifier 565, as described above with respect to Figure 1.
The functional redundancy rule identifier 565 identifies one or more functional redundancy rules and/or algorithms, as described above with respect to Figure 1. In certain embodiments, the functional redundancy rules and/or algorithms may be user defined. In certain embodiments, the functional redundancy rules and/or algorithms may be written in XML or may be provided in one or more DLLs, as described above with respect to Figure 1.
The sequencing component 566 sequences data. In certain embodiments, the sequencing component 566 may sequence the data based at least in
-21-part on the sequence rule identifier 567. In certain embodiments, the sequencing component 566 may select and/or remove the data from the data organization component 568 for communications over the network 520. For example, the sequencing component 566 may remove the data from the data organization component 568 based at least in part on the sequencing rule identifier 567, as described above with respect to Figure 1.
The sequencing rule identifier 567 identifies one or more sequencing rules and/or algorithms, such as starvation, round robin, and relative frequency, as described above with respect to Figure 1. In certain embodiments, the sequencing rules and/or algorithms may be user defined. In certain embodiments, the sequencing rules and/or algorithms may be written in XML or may be provided in one or more DLLs, as described above with respect to Figure 1.
The data organization component 568 stores and/or organizes data. In certain embodiments, the data organization component 568 may store and/or organize the data based at least in part on priority, such as "KEEP PILOT ALIVE," "KILL
ENEMY," and "INFORMATIONAL." The data organization component 568 may include, for example, one or more queues, such as Ql, Q2, Q3, Q4, and Q5. For example, data associated with a priority of "HIGH," such as position data and emitter data for a near threat, may be stored in Ql, data associated with a priority of "MED
HIGH," such as next to shoot data, may be stored in Q2, data associated with a priority of "MED," such as top-ten shoot list data, may be stored in Q3, data associated with a priority of "MED LOW," such as emitter data for a threat over one hundred miles away and SA data from SATCOM, may be stored in Q4, and data associated with a priority of "LOW," such as general status data, may be stored in Q5.
Alternatively, the data organization component 568 may include, for example, one or more trees, tables, linked lists, and/or other data structures for storing and/or organizing data.
The network analysis component 570 analyzes the network 520. In certain embodiments, the network analysis component 570 analyzes the network based at least in part on the network analysis rule identifier 572.
-22-The network analysis rule identifier 572 identifies one or more network analysis rules and/or algorithms, such as a round-trip-ping, peer-to-peer analysis, and/or measured throughput. For example, round-trip-ping may analyze network latency by timing how long it takes for a ping to go to an end-node and back.
As another example, peer-to-peer analysis may assume that the slowest links are the first and last one. Consequently, network performance may be evaluated by sending a message to the far-end requesting link speed data, and then using this data and the knowledge of present link speed to evaluate current throughput or performance.
As another example, measured throughput may segment blocks of data and send them to the far end of the network. The far end tracks each block of data that it receives.
Using this timing information and knowing the size of the block of data that was sent, the network throughput can be approximated over time.
In certain embodiments, the one or more network analysis rules and/or algorithms may determine the state of health of the network on a rule-driven time interval with a rule-driven reaction to that state. For example, an analysis rule looking at network stability may turn off outbound data when data drop exceeds a reasonable level or an analysis rule may meter the data to a lower rate if round-trip packet times exceed a reasonable level.
In certain embodiments, the network analysis rules and/or algorithms may be user defined. In certain embodiments, the network analysis rules and/or algorithms may be written in XML or may be provided in one or more DLLs.
In certain embodiments, the network analysis component 570 determines a status of the network 520. More particularly, the network analysis component 570 may determine the status of the network 520 based at least in part on one or more characteristics of the network 520, such as bandwidth, latency, and/or jitter. For example, as illustrated in Figure 4, the network analysis component 570 may determine that the status of the network 520 is "MAXIMUM BANDWIDTH,"
"DESIGN POINT BANDWIDTH," "BANDWIDTH CONSTRAINED," or "BANDWIDTH CHALLENGED."
-23-In certain embodiments, the network analysis component 570 analyzes one or more paths in the network 520, such as the path between two nodes.
The network analysis component 570 at NODE A generates the network analysis data. More particularly, the network analysis component 570 at NODE A generates the network analysis data based at least in part on the network analysis rule identifier 572. The network analysis data may include a block of data, such as a packet, cell, frame, and/or stream. NODE A transmits the network analysis data to NODE B over the network 520.
NODE B receives the network analysis data from NODE A. The network analysis component 570 at NODE B processes the network analysis data from NODE A. More particularly, the network analysis component 570 at NODE B
processes the network analysis data based at least in part on network analysis rule identifier 572. For example, the network analysis component at NODE B may add a time stamp to the network analysis data. NODE B transmits the processed network analysis data to NODE A over the network 520.
NODE A receives the processed network analysis data from NODE B.
The network analysis component 570 at NODE A analyzes the network 520 based at least in part on the network analysis rule identifier 572.
In certain embodiments, the network analysis component 570 at NODE
A determines a status of the network 520. More particularly, the network analysis component 570 at NODE A may determine the status of the network 520 based at least in part on one or more characteristics of the network 520, such as bandwidth, latency, and/or jitter. For example, as illustrated in Figure 4, the network analysis component 570 at NODE A may determine that the status of the network 520 is "MAXIMUM BANDWIDTH," "DESIGN POINT BANDWIDTH," "BANDWIDTH
CONSTRAINED," or "BANDWIDTH CHALLENGED."
In certain embodiments, the network analysis component 570 at NODE
A analyzes one or more paths in the network 520, such as the path from NODE A
to NODE B.
-24-The data communications component 580 communicates data. In certain embodiments, the data communications component 580 receives the data, for example, from a node 510 and/or an application running on the node 510, or over a network 520 and/or over a link connecting the node 510 to the network 520. In certain embodiments, the data communications component 580 transmits data, for example, to a node 510 and/or an application running on the node 510, or over a network 520 and/or over a link connecting the node 510 to the network 520.
In certain embodiments, the data communications component 580 communicates with the data prioritization component 560. More particularly, the data communications component 580 transmits data to the differentiation component and receives data from the sequencing component 566. Alternatively, the data communications component 580 may communicate with the data organization component 568. In certain embodiments, the data communications component 580 communicates with the network analysis component 570. In certain embodiments, the data prioritization component 560 and/or the network analysis component may perform one or more of the functions of the data communications component 580.
In certain embodiments, the data communications component 580 may communicate data based at least in part on data priority and/or network status.
In operation, data is received by the data communications system 550.
More particularly, the data may be received by the data communications component 580 of the data communications system 550. The data may be received, for example, from a node 510 and/or an application running on the node 510. The data may be received, for example, over a network 520 and/or over a link connecting the node 510 and the network 520. For example, data may be received at the data communications system 550 from a radio over a tactical data network. As another example, data may be provided to the data communications system 550 by an application running on the same system by an inter-process communication mechanism. As discussed above, the data may include, for example, a block of data, such as a packet, a cell, a frame, and/or a stream of data.
-25-In certain embodiments, the data communication system 550 may not receive all of the data. For example, some of the data may be stored in a buffer and the data communication system 550 may receive only header information and a pointer to the buffer. As another example, the data communication system 550 may be hooked into the protocol stack of an operating system and when an application passes data to the operating system through a transport layer interface (e.g., sockets), the operating system may then provide access to the data to the data communication system 550.
The data is prioritized by the data communications system 550. In certain embodiments, the data may be prioritized by the data prioritization component 560 of the data communications system 550 based at least in part on data prioritization rules.
In certain embodiments, the data may be differentiated by the differentiation component 562. For example, the data may be added to and/or removed and/or withheld from the data organization component 568 based at least in part on queue selection rules and/or functional redundancy rules. As another example, the data may be differentiated by the differentiation component 562 based at least in part on message content and/or protocol information, as described above.
In certain embodiments, the data may be sequenced by the sequencing component 566. For example, the data may be removed and/or withheld from the data organization component 568 based at least in part on sequencing rules, such as starvation, round robin, and relative frequency.
In certain embodiments, the data may be stored, organized, and/or prioritized in the data organization component 568. In certain embodiments, the data organization component 568 may include queues, trees, tables, linked lists, and/or other data structures for storing, organizing, and/or prioritizing data.
In certain embodiments, the data communications system 550 may prioritize the data. In certain embodiments, the data communications system 550 may determine a priority for a block of data. For example, when a block of data is received by the data communications system 550, the data prioritization component
-26-560 of the data communications system 550 may determine a priority for that block of data. As another example, a block of data may be stored in a queue in the data communications system 550 and the data prioritization component 560 may extract the block of data from the queue based on a priority determined for the block of data and/or for the queue.
In certain embodiments, the priority of the block of data may be based at least in part on message content. For example, the data priority may be based at least in part on type of data, such as video, audio, telemetry, and/or position data. As another example, the data priority may be based at least in part on the sending application and/or the sending user. For example, communications from a general may be assigned a higher priority than communications from a lower ranking officer.
In certain embodiments, the priority of the block of data may be based at least in part on protocol information associated with and/or included in the data, such as a source address and/or a transport protocol. The protocol information may be similar to the protocol information described above, for example. For example, the data communications system 550 may determine a priority for a block of data based on the source address of the block of data. As another example, the data communications system 550 may determine a priority for a block of data based on the transport protocol used to communicate the block of data.
The prioritization of data by the data communications system 550 may be used to provide QoS, for example. For example, the data communications system 550 may determine a priority for data received over a tactical data network.
The priority may be based on the source address of the data, for example. For example, a source IP address for the data from a radio of a member of the same platoon as the platoon the data communications system 550 belongs to may be given a higher priority than data originating from a unit in a different division in a different area of operations. The priority may be used to determine which of a plurality of queues the data should be placed into for subsequent communication by the data communications system 550. For example, higher priority data may be placed in a queue intended to hold higher priority data, and in turn, the data communications system 550, in
-27-determining what data to next communicate, may look first to the higher priority queue.
The data may be prioritized based at least in part on one or more rules.
As discussed above, the rules may be user defined. In certain embodiments, rules may be written in XML and/or provided via custom DLLs, for example. A rule may specify, for example, that data received using one protocol be favored over data utilizing another protocol. For example, command data may utilize a particular protocol that is given priority, via a rule, over position telemetry data sent using another protocol As another example, a rule may specify that position telemetry data coming from a first range of addresses may be given priority over position telemetry data coming from a second range of addresses. The first range of addresses may represent IP addresses of other aircraft in the same squadron as the aircraft with the data communications system 550 running on it, for example. The second range of addresses may then represent, for example, IP addresses for other aircraft that are in a different area of operations, and therefore of less interest to the aircraft on which the data communications system 550 is running.
In certain embodiments, the data communications system 550 does not drop data. That is, although the data may be lower priority, it is not dropped by the data communications system 550. Rather, the data may be delayed for a period of time, potentially dependent on the amount of higher priority data that is received.
In certain embodiments, the data communications system 550 includes a mode or profile indicator. The mode or profile indicator may represent, for example, the current mode or profile of the data communications system 550. As discussed above, the data communications system 550 may use rules and modes or profiles to perform throughput management functions, such as optimizing available bandwidth, setting information priority, and managing data links 530 in a network 520. The different modes may, for example, affect changes in rules, algorithms, modes, and/or data transports, for example. A mode or profile may include a set of rules related to the operational needs for a particular network state of health or condition. The data communications system 550 may provide dynamic
-28-reconfiguration of modes, including defining and switching to new modes "on-the-fly," for example.
In certain embodiments, the data communications system 550 is transparent to other applications. For example, the processing, organizing, and/or prioritization performed by the data communications system 550 may be transparent to one or more nodes 510 or other applications or data sources. As another example, an application running on the same system as the data communications system 550, or on a node 510 connected to the data communications system 550, may be unaware of the prioritization of data performed by the data communications system 550.
The network 520 is analyzed by the data communications system 550.
More particularly, the network 520 may be analyzed by the network analysis component 570 of the data communications system 550 based at least in part on the network analysis rules.
In certain embodiments, the network analysis component 570 determines a status of the network 520. More particularly, the network analysis component 570 may determine the status of the network 520 based at least in part on one or more characteristics of the network 520, such as bandwidth, latency, and/or jitter. For example, as illustrated in Figure 4, the network analysis component 570 may determine that the status of the network 520 is "MAXIMUM BANDWIDTH,"
"DESIGN POINT BANDWIDTH," "BANDWIDTH CONSTRAINED," and/or "BANDWIDTH CHALLENGED."
In certain embodiments, the network analysis component 570 analyzes one or more paths in the network 520, such as the path from NODE A to NODE B.
The data is communicated by the data communications system 550.
More particularly, the data may be communicated by the data communications component 580 of the data communications system 550. The data may be communicated, for example, to a node 510 and/or an application running on the node 510. The data may be communicated, for example, over a network 520 and/or over a link connecting the node 510 and the network 520. For example, data may be communicated by the data communications system 550 over a tactical data network to
-29-a radio. As another example, data may be provided by the data communications system 550 to an application running on the same system by an inter-process communication mechanism. As discussed above, the data may include, for example, a block of data, such as a packet, a cell, a frame, and/or a stream of data.
In certain embodiments, the data is communicated by the data communications system 550 based at least in part on the data priority and/or the network status. For example, as illustrated in Figure 4, if the status of a network 520 is "BANDWIDTH CHALLENGED," then only data associated with a priority of "HIGH," such as position data and emitter data for a near threat, may be communicated over the network 520.
As another example, if the status of a network 520 is "BANDWIDTH
CONSTRAINED," then data associated with a priority of "MED HIGH," such as next to shoot data, and "MED," such as top-ten shoot list data, may also be communicated over the network 520. That is, data associated with a priority of "HIGH," "MED
HIGH," and "MED" may be communicated over a network 520 if the network status is "BANDWIDTH CONSTRAINED," as illustrated in Figure 4. In certain embodiments, the data may also be communicated in order of priority, for example, "HIGH,", then "MED HIGH," then "MED."
As another example, if the status of a network 520 is "DESIGN
POINT BANDWIDTH," then data associated with a priority of "MED LOW," such as emitter data for a threat over one hundred miles away and SA data from SATCOM, may also be communicated over the network 520. That is, data associated with a priority of "HIGH," "MED HIGH," "MED," and "MED LOW" may be communicated over a network 520 if the network status is "DESIGN POINT
BANDWIDTH," as illustrated in Figure 4. In certain embodiments, the data may also be communicated in order of priority, for example, "HIGH," then "MED HIGH,"
then "MED," then "MED LOW."
As another example, if the status of a network 520 is "MAXIMUM
BANDWIDTH," then data associated with a priority of "LOW," such as general status data, may also be communicated over the network 520. That is, data associated
-30-with a priority of "HIGH," "MED HIGH," "MED," "MED LOW," and "LOW" may be communicated over the network 520 if the network status is "MAXIMUM
BANDWIDTH," as illustrated in Figure 4. In certain embodiments, the data may also be communicated in order of priority, for example, "HIGH," then "MED HIGH,"
then "MED," then "MED LOW," then "LOW."
As discussed above, the components, elements, and/or functionality of the data communication system 550 may be implemented alone or in combination in various forms in hardware, firmware, and/or as a set of instructions in software, for example. Certain embodiments may be provided as a set of instructions residing on a computer-readable medium, such as a memory, hard disk, DVD, or CD, for execution on a general purpose computer or other processing device.
Figure 6 illustrates a flow diagram of a method 600 for data communications in accordance with an embodiment of the present invention. The method 600 includes the following steps, which will be described below in more detail. At step 610, data is received. At step 620, the data is prioritized.
At step 630, a network is analyzed. At step 640, the data is communicated. The method 600 is described with reference to elements of systems described above, but it should be understood that other implementations are possible.
At step 610, data is received. The data may be received, for example, by the data communications system 550 of Figure 5, as described above. As another example, the data may be received from a node 510 and/or an application running on the node 510. As another example, the data may be received, for example, over a network 520 and/or over a link connecting the node 510 and the network 520.
The data may include, for example, a block of data, such as a packet, a cell, a frame, and/or a stream of data. In certain embodiments, the data communication system may not receive all of the data.
At step 620, data is prioritized. The data to be prioritized may be the data that is received at step 610, for example. The data may be prioritized, for example, by the data communications system 550 of Figure 5, as described above. As another example, the data may be prioritized by the data prioritization component 560
-31-of the data communications system 550 based at least in part on data prioritization rules.
In certain embodiments, the data priority may be based at least in part on message content, such as data type, sending application, and/or sending user. In certain embodiments, the data priority may based at least in part on protocol information associated with and/or included in the data, such as a source address and/or a transport protocol. In certain embodiments, the data prioritization component 560 may be used to provide QoS, for example. In certain embodiments, the prioritization of data is transparent to other applications.
At step 630, a network is analyzed. The network may be analyzed, for example, by the data communications system 550 of Figure 5, as described above. As another example, the network may be analyzed by the network analysis component 570 of the data communications system 550 based at least in part on network analysis rules.
In certain embodiments, the network analysis component 570 determines a status of the network 520. More particularly, the network analysis component 570 may determine the status of the network 520 based at least in part on one or more characteristics of the network 520, such as bandwidth, latency, and/or jitter.
In certain embodiments, the network analysis component 570 analyzes one or more paths in the network 520, such as the path from NODE A to NODE B.
At step 640, data is communicated. The data communicated may be the data received at step 610, for example. The data communicated may be the data prioritized at step 620, for example. The data may be communicated, for example, by the data communications system 550 of Figure 5, for example, as described above.
As another example, the data may be communicated to a node 510 and/or an application running on the node 510. As another example, the data may be communicated over a network 520 and/or over a liffl( connecting the node 510 and the network 520.
-32-In certain embodiments, the data may be communicated based at least in part on data priority and/or network status, as described above. The data priority may be the data priority determined at step 620, for example. The network status may be the network status determined at step 630, for example.
One or more of the steps of the method 600 may be implemented alone or in combination in hardware, firmware, and/or as a set of instructions in software, for example. Certain embodiments may be provided as a set of instructions residing on a computer-readable medium, such as a memory, hard disk, DVD, or CD, for execution on a general purpose computer or other processing device.
Certain embodiments of the present invention may omit one or more of these steps and/or perform the steps in a different order than the order listed. For example, some steps may not be performed in certain embodiments of the present invention. As a further example, certain steps may be performed in a different temporal order, including simultaneously, than listed above.
Figure 7 illustrates a system 700 for prioritizing data according to an embodiment of the present invention. The system 700 includes a differentiation component 710, a sequencing component 720, and a data organization component 730. The differentiation component 710 may include differentiation rules 715, such as queue selection rules and/or functional redundancy rules. The sequencing component 720 includes sequencing rules 725, such as starvation, round robin, and/or relative frequency. The data organization component 730 includes, for example, queues, trees, tables, lists, and/or other data structures for storing and/or organizing data. The components of the system 700 may be referred to collectively as a data prioritization component 760, and may be similar to the components of the data prioritization component 560 of Figure 5, as described above, for example.
Data is received at the data prioritization component 760. The data may be received over a network, such as a tactical data network, and/or from an application program, for example. As another example, the data may be received from the data communications component 580 of Figure 5, as described above.
The data may include, for example, a block of data, such as a cell, a frame, a packet,
-33-and/or a stream. The data prioritization component 760 prioritizes the data.
In certain embodiments, the data prioritization component 760 may prioritize the data based at least in part on data prioritization rules, such as the differentiation rules 715 and/or the sequencing rules 725, for example.
In certain embodiments, the data is received at the differentiation component 710 of the data prioritization component 760. The differentiation component 710 differentiates the data. In certain embodiments, the differentiation component 710 may differentiate the data based at least in part on the differentiation rules 715, such as queue selection rules, and/or functional redundancy rules 765. In certain embodiments, the differentiation rules and/or functional redundancy rules may be defined by a user. In certain embodiments, the differentiation component 710 may differentiate the data based at least in part on message content, such as data type, sending address, and/or sending application, and/or protocol information, such as source address and/or transport protocol. In certain embodiments, the differentiation component 710 may add data to the data organization component 730, for example, based at least in part on the queue selection rules. For example, the differentiation component 710 may add video data to a first queue, audio data to second queue, telemetry data to a third queue, and position data to a fourth queue. In certain embodiments, the differentiation component 710 may remove and/or withhold data from the data organization component 730, for example, based at least in part on the functional redundancy rules. For example, the differentiation component 710 may remove stale and/or redundant position data from the fourth queue.
In certain embodiments, the differentiated data may be communicated.
For example, the differentiated data may be transmitted to the data communications component 580 of Figure 5, as described above. As another example, the differentiated data may be communicated over a network, such as a tactical data network, and/or to an application program.
In certain embodiments, the data is received at the sequencing component 720 of the data prioritization component 760. The sequencing component 720 sequences the data. In certain embodiments, the sequencing component 720 may
-34-sequence the data based at least in part on the sequencing rules 725, such as starvation, round robin, and/or relative frequency. In certain embodiments, the sequencing rules 725 may be defined by a user. In certain embodiments, the sequencing component 720 selects and/or removes the data from the data organization component 730, for example, based at least in part on the sequencing rules 735. For example, the sequencing component 720 may remove the position data from the fourth queue, then the audio data from the second queue, then the telemetry data from the third queue, and then the video data from the first queue.
In certain embodiments, the sequenced data may be communicated.
For example, the sequenced data may be transmitted to the data communications component 580 of Figure 5, as described above. As another example, the sequenced data may be communicated over a network, such as a tactical data network, and/or to an application program.
In certain embodiments, the data prioritization component 700, including the differentiation component 710, the sequencing component 720, and/or the data organization component 730, may be used to provide QoS, as described above. In certain embodiments, the data prioritization component 700, including the differentiation component 710, the sequencing component 720, and/or the data organization component 730, may be transparent to other applications, also as described above.
As discussed above, the components, elements, and/or functionality of the data prioritization component 700 may be implemented alone or in combination in various forms in hardware, firmware, and/or as a set of instructions in software, for example. Certain embodiments may be provided as a set of instructions residing on a computer-readable medium, such as a memory, hard disk, DVD, or CD, for execution on a general purpose computer or other processing device.
Figure 8 illustrates a flow diagram of method 800 for prioritizing data according to an embodiment of the present invention. The method 800 includes the following steps, which will be described below in more detail. At step 810, data is received. At step 820, the data is prioritized. At step 830, the data is communicated.
-35-The method 800 is described with reference to elements of systems described above, but it should be understood that other implementations are possible.
At step 810, the data is received. As described above, the data may be received over a network, such as a tactical data network, and/or from an application program, for example. As another example, the data may be received from the data communications component 580 of Figure 5, as described above.
At step 820, the data is differentiated. The data to be differentiated may be the data received at step 810, for example. The data may be differentiated, for example, by the differentiation component 710 of Figure 7, as described above.
At step 830, the data is sequenced. The data to be sequenced may be the data received at step 810 and/or the data differentiated at step 820, for example.
The data may be sequenced, for example, by the sequencing component 720 of Figure 7, as described above.
At step 840, the data is communicated. The data to be communicated may be the data received at step 810, the data differentiated at step 820, and/or the data sequenced at step 830, for example. The data may be communicated over a network, such as a tactical data network, and/or to an application program, for example. As another example, the data may be communicated to the data communications component 580 of Figure 5, as described above.
One or more of the steps of the method 800 may be implemented alone or in combination in hardware, firmware, and/or as a set of instructions in software, for example. Certain embodiments may be provided as a set of instructions residing on a computer-readable medium, such as a memory, hard disk, DVD, or CD, for execution on a general purpose computer or other processing device.
Certain embodiments of the present invention may omit one or more of these steps and/or perform the steps in a different order than the order listed. For example, some steps may not be performed in certain embodiments of the present invention. As a further example, certain steps may be performed in a different temporal order, including simultaneously, than listed above.
-36-In one embodiment of the present invention, a method for communicating data over a network to provide Quality of Service includes receiving data over a network, prioritizing the data, and communicating the data based at least in part on the priority. The step of prioritizing the data includes sequencing the data In one embodiment of the present invention, a system for communicating data includes a data prioritization component and a data communications component. The data prioritization component is adapted to prioritize data. The data prioritization component includes a sequencing component.
In one embodiment of the present invention, a computer-readable medium includes a set of instructions for execution on a computer. The set of Thus, certain embodiments of the present invention provide systems and methods for rule-based sequencing for QoS. Certain embodiments provide a technical effect of rule-based sequencing for QoS.
-37-

Claims (8)

1. A method for providing quality of service through an edge of a data network, the method including:
receiving data at a data communication system, said data communication system residing at a node at the edge of the data network;
determining a network status from a plurality of network statuses based on an analysis of network measurements;
selecting a mode from a plurality of modes based on said network status, said plurality of modes including different user defined sequencing rules each specifying an order in which messages are to be sequenced in a data stream;
prioritizing the data at the data communications system by assigning a priority to the data, wherein prioritizing the data comprises sequencing the data based on said user defined sequencing rule of said mode which was previously selected;
determining effective link speed or link proportion for at least one link;
metering inbound data by shaping the inbound data at the data communications system for the at least one link, said inbound data comprising data inbound for said data network;
metering outbound data by policing the outbound data at the data communications system for the at least one link, said outbound data comprising data outbound for said data network; and communicating the data from the data communications system, wherein communicating the data comprises communicating data based on the priority of the data, the effective link speed or the link proportion.
2. The method of claim 1, wherein the data is sequenced based on starvation, round robin, or relative frequency.
3. The method of claim 1, wherein the prioritizing step includes differentiating the data.
4. The method of claim 3, wherein differentiating the data comprises differentiating the data based on message content comprising data type, sending address, sending application, protocol information or other message content.
5. The method of any one of claim 3 or 4, wherein differentiating the data comprises differentiating the data based on a user defined rule.
6. The method of claim 1, wherein the sequencing step is implemented in the transport layer of an Open Systems Interconnection (OSI) model and allows an application program to use an interface provided by an operating system at a communications device in the data network.
7. The method of claim 1, wherein the sequencing step is implemented at the top of the transport layer of an Open Systems Interconnection (OSI) model and allows an application program to use an interface provided by an operating system at a communications device in the data network.
8. The method of claim 1, wherein the data is prioritized to provide quality of service.
CA2655252A 2006-06-16 2007-06-14 Method and system for rule-based sequencing for qos Expired - Fee Related CA2655252C (en)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US11/454,220 US7990860B2 (en) 2006-06-16 2006-06-16 Method and system for rule-based sequencing for QoS
US11/454,220 2006-06-16
PCT/US2007/071197 WO2007147045A2 (en) 2006-06-16 2007-06-14 Method and system for rule-based sequencing for qos

Publications (2)

Publication Number Publication Date
CA2655252A1 CA2655252A1 (en) 2007-12-21
CA2655252C true CA2655252C (en) 2013-08-13

Family

ID=38669925

Family Applications (1)

Application Number Title Priority Date Filing Date
CA2655252A Expired - Fee Related CA2655252C (en) 2006-06-16 2007-06-14 Method and system for rule-based sequencing for qos

Country Status (8)

Country Link
US (1) US7990860B2 (en)
EP (1) EP2039086B1 (en)
JP (1) JP5334845B2 (en)
KR (1) KR101011535B1 (en)
CN (1) CN101473607B (en)
CA (1) CA2655252C (en)
TW (1) TWI353141B (en)
WO (1) WO2007147045A2 (en)

Families Citing this family (30)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080025318A1 (en) 2006-07-31 2008-01-31 Harris Corporation Systems and methods for dynamically customizable quality of service on the edge of a network
TWI395504B (en) * 2008-06-18 2013-05-01 Quanta Comp Inc Method for establishing adaptive mobile cluster network
US8195118B2 (en) 2008-07-15 2012-06-05 Linear Signal, Inc. Apparatus, system, and method for integrated phase shifting and amplitude control of phased array signals
EP2379595A2 (en) 2008-12-23 2011-10-26 AstraZeneca AB Targeted binding agents directed to 5 1 and uses thereof
US8872719B2 (en) 2009-11-09 2014-10-28 Linear Signal, Inc. Apparatus, system, and method for integrated modular phased array tile configuration
CN102170396B (en) * 2011-05-06 2014-07-30 浙江大学 QoS control method of cloud storage system based on differentiated service
TWI505672B (en) * 2012-07-24 2015-10-21 Nec Corp Communication systems and methods and programs
US9893952B2 (en) * 2015-01-09 2018-02-13 Microsoft Technology Licensing, Llc Dynamic telemetry message profiling and adjustment
JP6907124B2 (en) 2015-04-17 2021-07-21 アムゲン リサーチ (ミュンヘン) ゲーエムベーハーAMGEN Research(Munich)GmbH Bispecific antibody construct against CDH3 and CD3
US9836047B2 (en) 2015-06-10 2017-12-05 Kespry, Inc. Aerial vehicle data communication system
TWI744242B (en) 2015-07-31 2021-11-01 德商安美基研究(慕尼黑)公司 Antibody constructs for egfrviii and cd3
TWI796283B (en) 2015-07-31 2023-03-21 德商安美基研究(慕尼黑)公司 Antibody constructs for msln and cd3
HRP20220081T1 (en) 2016-02-03 2022-04-15 Amgen Research (Munich) Gmbh Bcma and cd3 bispecific t cell engaging antibody constructs
ES2935419T3 (en) 2016-02-03 2023-03-06 Amgen Res Munich Gmbh Bispecific antibody constructs for PSMA and CD3 that bind to T cells
US10419329B2 (en) 2017-03-30 2019-09-17 Mellanox Technologies Tlv Ltd. Switch-based reliable multicast service
US11171884B2 (en) 2019-03-13 2021-11-09 Mellanox Technologies Tlv Ltd. Efficient memory utilization and egress queue fairness
CN109995666A (en) * 2019-04-12 2019-07-09 深圳市元征科技股份有限公司 A kind of method for message transmission and relevant apparatus
US11748439B2 (en) * 2020-05-04 2023-09-05 Big Idea Lab, Inc. Computer-aided methods and systems for distributed cognition of digital content comprised of knowledge objects
CN111814981B (en) * 2020-06-23 2021-03-30 中国科学院软件研究所 Distributed real-time rule inference scheduling method
AU2021375733A1 (en) 2020-11-06 2023-06-08 Amgen Inc. Polypeptide constructs binding to cd3
AR124017A1 (en) 2020-11-06 2023-02-01 Amgen Res Munich Gmbh POLYPEPTIDES WITH ENHANCED CLIPPING PROFILE
EP4240768A2 (en) 2020-11-06 2023-09-13 Amgen Inc. Multitargeting bispecific antigen-binding molecules of increased selectivity
KR20230098334A (en) 2020-11-06 2023-07-03 암젠 리서치 (뮌헨) 게엠베하 Polypeptide constructs that selectively bind to CLDN6 and CD3
EP4314078A1 (en) 2021-04-02 2024-02-07 Amgen Inc. Mageb2 binding constructs
EP4334358A1 (en) 2021-05-06 2024-03-13 Amgen Research (Munich) GmbH Cd20 and cd22 targeting antigen-binding molecules for use in proliferative diseases
AU2022320948A1 (en) 2021-07-30 2024-01-18 Affimed Gmbh Duplexbodies
US11403426B1 (en) * 2021-09-14 2022-08-02 Intercom, Inc. Single path prioritization for a communication system
WO2023078968A1 (en) 2021-11-03 2023-05-11 Affimed Gmbh Bispecific cd16a binders
WO2023079493A1 (en) 2021-11-03 2023-05-11 Affimed Gmbh Bispecific cd16a binders
TW202346368A (en) 2022-05-12 2023-12-01 德商安美基研究(慕尼黑)公司 Multichain multitargeting bispecific antigen-binding molecules of increased selectivity

Family Cites Families (314)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP3019545B2 (en) 1991-10-07 2000-03-13 富士ゼロックス株式会社 Recording device
US5241632A (en) 1992-01-30 1993-08-31 Digital Equipment Corporation Programmable priority arbiter
DK0788693T3 (en) 1992-10-05 2000-06-05 Nokia Networks Oy Method of connecting local networks or network segments and a bridge to local networks
US5655140A (en) 1994-07-22 1997-08-05 Network Peripherals Apparatus for translating frames of data transferred between heterogeneous local area networks
US5627970A (en) 1994-08-08 1997-05-06 Lucent Technologies Inc. Methods and apparatus for achieving and maintaining optimum transmission rates and preventing data loss in a processing system nework
US5559999A (en) 1994-09-09 1996-09-24 Lsi Logic Corporation MPEG decoding system including tag list for associating presentation time stamps with encoded data units
GB9422389D0 (en) 1994-11-05 1995-01-04 Int Computers Ltd Authenticating access control for sensitive functions
JPH08307454A (en) 1995-04-28 1996-11-22 Mitsubishi Electric Corp Packet priority processor
JPH08316989A (en) 1995-05-19 1996-11-29 Japan Radio Co Ltd Method for controlling transfer data quantity and device therefor
JP2947121B2 (en) 1995-05-23 1999-09-13 日本電気株式会社 Network access method
US5664091A (en) 1995-08-31 1997-09-02 Ncr Corporation Method and system for a voiding unnecessary retransmissions using a selective rejection data link protocol
US5844600A (en) 1995-09-15 1998-12-01 General Datacomm, Inc. Methods, apparatus, and systems for transporting multimedia conference data streams through a transport network
JP3673025B2 (en) 1995-09-18 2005-07-20 株式会社東芝 Packet transfer device
US5960035A (en) 1995-09-29 1999-09-28 Motorola Inc. Method and apparatus for load balancing for a processor operated data communications device
US6507864B1 (en) 1996-08-02 2003-01-14 Symbol Technologies, Inc. Client-server software for controlling data collection device from host computer
US6091725A (en) 1995-12-29 2000-07-18 Cisco Systems, Inc. Method for traffic management, traffic prioritization, access control, and packet forwarding in a datagram computer network
US5784566A (en) 1996-01-11 1998-07-21 Oracle Corporation System and method for negotiating security services and algorithms for communication across a computer network
US6301527B1 (en) 1996-04-03 2001-10-09 General Electric Company Utilities communications architecture compliant power management control system
US5761445A (en) 1996-04-26 1998-06-02 Unisys Corporation Dual domain data processing network with cross-linking data queues and selective priority arbitration logic
US5949758A (en) 1996-06-27 1999-09-07 International Business Machines Corporation Bandwidth reservation for multiple file transfer in a high speed communication network
US6205486B1 (en) 1996-07-26 2001-03-20 Accton Technology Corporation Inter-network bridge connector provided for dynamically prioritizing frame transmission adaptive to current network transmission-state
US6067557A (en) 1996-09-06 2000-05-23 Cabletron Systems, Inc. Method and system for allocating CPU bandwidth by prioritizing competing processes
US6072781A (en) 1996-10-22 2000-06-06 International Business Machines Corporation Multi-tasking adapter for parallel network applications
US6075770A (en) * 1996-11-20 2000-06-13 Industrial Technology Research Institute Power spectrum-based connection admission control for ATM networks
GB9624419D0 (en) * 1996-11-23 1997-01-08 Inmedia Investment Ltd Communication system for delivery of content over electronic networks
JP3213697B2 (en) 1997-01-14 2001-10-02 株式会社ディジタル・ビジョン・ラボラトリーズ Relay node system and relay control method in the relay node system
US6404776B1 (en) 1997-03-13 2002-06-11 8 × 8, Inc. Data processor having controlled scalable input data source and method thereof
US6028843A (en) * 1997-03-25 2000-02-22 International Business Machines Corporation Earliest deadline first communications cell scheduler and scheduling method for transmitting earliest deadline cells first
US6816903B1 (en) 1997-05-27 2004-11-09 Novell, Inc. Directory enabled policy management tool for intelligent traffic management
US6192406B1 (en) 1997-06-13 2001-02-20 At&T Corp. Startup management system and method for networks
US6078565A (en) 1997-06-20 2000-06-20 Digital Equipment Corporation Method and apparatus to expand an on chip FIFO into local memory
US6181711B1 (en) 1997-06-26 2001-01-30 Cisco Systems, Inc. System and method for transporting a compressed video and data bit stream over a communication channel
US6115378A (en) 1997-06-30 2000-09-05 Sun Microsystems, Inc. Multi-layer distributed network element
US6937566B1 (en) 1997-07-25 2005-08-30 Telefonaktiebolaget Lm Ericsson (Publ) Dynamic quality of service reservation in a mobile communications network
US6343085B1 (en) 1997-08-28 2002-01-29 Microsoft Corporation Adaptive bandwidth throttling for individual virtual services supported on a network server
US6124806A (en) 1997-09-12 2000-09-26 Williams Wireless, Inc. Wide area remote telemetry
US6044419A (en) 1997-09-30 2000-03-28 Intel Corporation Memory handling system that backfills dual-port buffer from overflow buffer when dual-port buffer is no longer full
US6407998B1 (en) 1997-10-02 2002-06-18 Thomson Licensing S.A. Multimedia decoder for prioritized bi-directional communication in a broadcast system
US6363411B1 (en) 1998-08-05 2002-03-26 Mci Worldcom, Inc. Intelligent network
US6233248B1 (en) 1997-10-14 2001-05-15 Itt Manufacturing Enterprises, Inc. User data protocol for internet data communications
EP1482698A3 (en) 1997-10-24 2006-03-22 Fujitsu Ten Limited Communication gateway device
US6446204B1 (en) 1997-10-31 2002-09-03 Oracle Corporation Method and apparatus for implementing an extensible authentication mechanism in a web application server
US6170075B1 (en) 1997-12-18 2001-01-02 3Com Corporation Data and real-time media communication over a lossy network
US5941972A (en) 1997-12-31 1999-08-24 Crossroads Systems, Inc. Storage router and method for providing virtual local storage
JP3448481B2 (en) 1998-03-05 2003-09-22 Kddi株式会社 TCP communication speed-up device for asymmetric line
WO1999046662A2 (en) 1998-03-12 1999-09-16 Dmw Worldwide, Inc. System for operating on client defined rules
US6560592B1 (en) 1998-03-19 2003-05-06 Micro Data Base Systems, Inc. Multi-model computer database storage system with integrated rule engine
US6236656B1 (en) 1998-03-19 2001-05-22 Telefonaktiebolaget Lm Ericsson (Publ) Link-efficiency based scheduling in radio data communications systems
US6247058B1 (en) 1998-03-30 2001-06-12 Hewlett-Packard Company Method and apparatus for processing network packets using time stamps
US6279035B1 (en) 1998-04-10 2001-08-21 Nortel Networks Limited Optimizing flow detection and reducing control plane processing in a multi-protocol over ATM (MPOA) system
US6625135B1 (en) 1998-05-11 2003-09-23 Cargenie Mellon University Method and apparatus for incorporating environmental information for mobile communications
US6625133B1 (en) 1998-05-17 2003-09-23 Lucent Technologies Inc. System and method for link and media access control layer transaction initiation procedures
US6154778A (en) 1998-05-19 2000-11-28 Hewlett-Packard Company Utility-based multi-category quality-of-service negotiation in distributed systems
US6185520B1 (en) 1998-05-22 2001-02-06 3Com Corporation Method and system for bus switching data transfers
US6397259B1 (en) 1998-05-29 2002-05-28 Palm, Inc. Method, system and apparatus for packet minimized communications
US6343318B1 (en) 1998-05-29 2002-01-29 Palm, Inc. Method and apparatus for communicating information over low bandwidth communications networks
US6590588B2 (en) 1998-05-29 2003-07-08 Palm, Inc. Wireless, radio-frequency communications using a handheld computer
US6157955A (en) 1998-06-15 2000-12-05 Intel Corporation Packet processing system including a policy engine having a classification unit
KR200245703Y1 (en) 1998-06-17 2002-08-27 만도공조 주식회사 Indoor packaged air conditioner
WO1999066675A1 (en) * 1998-06-19 1999-12-23 Unisphere Solutions, Inc. A quality of service facility in a device for performing ip forwarding and atm switching
US6952416B1 (en) 1998-06-22 2005-10-04 Nortel Networks Limited Treatments in a distributed communications system
US6625650B2 (en) 1998-06-27 2003-09-23 Intel Corporation System for multi-layer broadband provisioning in computer networks
US6640248B1 (en) 1998-07-10 2003-10-28 Malibu Networks, Inc. Application-aware, quality of service (QoS) sensitive, media access control (MAC) layer
US6862622B2 (en) 1998-07-10 2005-03-01 Van Drebbel Mariner Llc Transmission control protocol/internet protocol (TCP/IP) packet-centric wireless point to multi-point (PTMP) transmission system architecture
US6680922B1 (en) 1998-07-10 2004-01-20 Malibu Networks, Inc. Method for the recognition and operation of virtual private networks (VPNs) over a wireless point to multi-point (PtMP) transmission system
WO2000008819A1 (en) 1998-08-04 2000-02-17 At & T Corp. A method for performing gate coordination on a per-call basis
US7133400B1 (en) * 1998-08-07 2006-11-07 Intel Corporation System and method for filtering data
US6618385B1 (en) 1998-09-23 2003-09-09 Cirrus Logic, Inc. High performance, high bandwidth, and adaptive local area network communications
US6563517B1 (en) 1998-10-02 2003-05-13 International Business Machines Corp. Automatic data quality adjustment to reduce response time in browsing
US6421335B1 (en) 1998-10-26 2002-07-16 Nokia Telecommunications, Oy CDMA communication system and method using priority-based SIMA quality of service class
US6819655B1 (en) 1998-11-09 2004-11-16 Applied Digital Access, Inc. System and method of analyzing network protocols
US6614781B1 (en) 1998-11-20 2003-09-02 Level 3 Communications, Inc. Voice over data telecommunications network architecture
US6490249B1 (en) 1998-12-01 2002-12-03 Nortel Networks Limited Adaptive connection admission control scheme for packet networks
US6643260B1 (en) 1998-12-18 2003-11-04 Cisco Technology, Inc. Method and apparatus for implementing a quality of service policy in a data communications network
US6691168B1 (en) 1998-12-31 2004-02-10 Pmc-Sierra Method and apparatus for high-speed network rule processing
CA2358525C (en) * 1999-01-08 2008-04-01 Nortel Networks Limited Dynamic assignment of traffic classes to a priority queue in a packet forwarding device
JP2000207234A (en) 1999-01-08 2000-07-28 Mitsubishi Electric Corp Communication system
US6912221B1 (en) 1999-01-15 2005-06-28 Cisco Technology, Inc. Method of providing network services
US6856627B2 (en) 1999-01-15 2005-02-15 Cisco Technology, Inc. Method for routing information over a network
JP4272322B2 (en) 1999-01-26 2009-06-03 パナソニック株式会社 Information disposal method and information disposal apparatus
US6498782B1 (en) 1999-02-03 2002-12-24 International Business Machines Corporation Communications methods and gigabit ethernet communications adapter providing quality of service and receiver connection speed differentiation
ATE343886T1 (en) 1999-03-17 2006-11-15 Broadcom Corp NETWORK BROKERAGE
US6952401B1 (en) 1999-03-17 2005-10-04 Broadcom Corporation Method for load balancing in a network switch
US6600744B1 (en) 1999-03-23 2003-07-29 Alcatel Canada Inc. Method and apparatus for packet classification in a data communication system
US6950441B1 (en) 1999-03-30 2005-09-27 Sonus Networks, Inc. System and method to internetwork telecommunication networks of different protocols
US6449251B1 (en) 1999-04-02 2002-09-10 Nortel Networks Limited Packet mapper for dynamic data packet prioritization
US6584466B1 (en) 1999-04-07 2003-06-24 Critical Path, Inc. Internet document management system and methods
US6438603B1 (en) 1999-04-30 2002-08-20 Microsoft Corporation Methods and protocol for simultaneous tuning of reliable and non-reliable channels of a single network communication link
US6587875B1 (en) 1999-04-30 2003-07-01 Microsoft Corporation Network protocol and associated methods for optimizing use of available bandwidth
US6700871B1 (en) 1999-05-04 2004-03-02 3Com Corporation Increased throughput across data network interface by dropping redundant packets
US6519225B1 (en) 1999-05-14 2003-02-11 Nortel Networks Limited Backpressure mechanism for a network device
SE522068C2 (en) 1999-07-15 2004-01-13 Ericsson Telefon Ab L M Method and apparatus for providing radio access carrier services
US20030195983A1 (en) 1999-05-24 2003-10-16 Krause Michael R. Network congestion management using aggressive timers
US6542593B1 (en) * 1999-06-02 2003-04-01 Accenture Llp Rules database server in a hybrid communication system architecture
US6591301B1 (en) 1999-06-07 2003-07-08 Nortel Networks Limited Methods and systems for controlling network gatekeeper message processing
US6907243B1 (en) 1999-06-09 2005-06-14 Cisco Technology, Inc. Method and system for dynamic soft handoff resource allocation in a wireless network
US6628654B1 (en) 1999-07-01 2003-09-30 Cisco Technology, Inc. Dispatching packets from a forwarding agent using tag switching
JP4271787B2 (en) 1999-07-29 2009-06-03 日本電信電話株式会社 Communications system
US6819681B1 (en) 1999-08-06 2004-11-16 Shrikumar Hariharasubrahmanian Systems and methods for predicting data fields in layered protocols
US6715145B1 (en) 1999-08-31 2004-03-30 Accenture Llp Processing pipeline in a base services pattern environment
US6983350B1 (en) 1999-08-31 2006-01-03 Intel Corporation SDRAM controller for parallel processor architecture
US6332163B1 (en) 1999-09-01 2001-12-18 Accenture, Llp Method for providing communication services over a computer network system
US6807648B1 (en) * 1999-09-13 2004-10-19 Verizon Laboratories Inc. Variable-strength error correction in ad-hoc networks
US6598034B1 (en) 1999-09-21 2003-07-22 Infineon Technologies North America Corp. Rule based IP data processing
US6934795B2 (en) 1999-09-23 2005-08-23 Netlogic Microsystems, Inc. Content addressable memory with programmable word width and programmable priority
JP3583667B2 (en) 1999-09-30 2004-11-04 株式会社東芝 Wireless terminal device, data transfer method, and control information notification method
US6934250B1 (en) 1999-10-14 2005-08-23 Nokia, Inc. Method and apparatus for an output packet organizer
US6882642B1 (en) 1999-10-14 2005-04-19 Nokia, Inc. Method and apparatus for input rate regulation associated with a packet processing pipeline
US6687698B1 (en) 1999-10-18 2004-02-03 Fisher Rosemount Systems, Inc. Accessing and updating a configuration database from distributed physical locations within a process control system
US6820117B1 (en) 1999-10-18 2004-11-16 Sun Microsystems, Inc. Bandwidth management
WO2001035243A1 (en) 1999-11-08 2001-05-17 Megaxess, Inc. QUALITY OF SERVICE (QoS) NEGOTIATION PROCEDURE FOR MULTI-TRANSPORT PROTOCOL ACCESS FOR SUPPORTING MULTI-MEDIA APPLICATIONS WITH QoS ASSURANCE
US6778530B1 (en) 1999-11-08 2004-08-17 Juniper Networks, Inc. Method and apparatus for multiple field matching in network device
US6650902B1 (en) 1999-11-15 2003-11-18 Lucent Technologies Inc. Method and apparatus for wireless telecommunications system that provides location-based information delivery to a wireless mobile unit
US7149222B2 (en) * 1999-12-21 2006-12-12 Converged Access, Inc. Integrated access point network device
US6854009B1 (en) 1999-12-22 2005-02-08 Tacit Networks, Inc. Networked computer system
US6952824B1 (en) 1999-12-30 2005-10-04 Intel Corporation Multi-threaded sequenced receive for fast network port stream of packets
US6557053B1 (en) 2000-01-04 2003-04-29 International Business Machines Corporation Queue manager for a buffer
JP3732989B2 (en) 2000-01-12 2006-01-11 富士通株式会社 Packet switch device and scheduling control method
US20020062395A1 (en) 2000-01-21 2002-05-23 David Thompson Browser and network optimization systems and methods
US6496520B1 (en) * 2000-01-21 2002-12-17 Broadcloud Communications, Inc. Wireless network system and method
US6873600B1 (en) 2000-02-04 2005-03-29 At&T Corp. Consistent sampling for network traffic measurement
US6778546B1 (en) 2000-02-14 2004-08-17 Cisco Technology, Inc. High-speed hardware implementation of MDRR algorithm over a large number of queues
WO2001063486A2 (en) 2000-02-24 2001-08-30 Findbase, L.L.C. Method and system for extracting, analyzing, storing, comparing and reporting on data stored in web and/or other network repositories and apparatus to detect, prevent and obfuscate information removal from information servers
US6934752B1 (en) 2000-03-23 2005-08-23 Sharewave, Inc. Quality of service extensions for multimedia applications in wireless computer networks
US6760309B1 (en) 2000-03-28 2004-07-06 3Com Corporation Method of dynamic prioritization of time sensitive packets over a packet based network
US6687735B1 (en) 2000-05-30 2004-02-03 Tranceive Technologies, Inc. Method and apparatus for balancing distributed applications
US6772223B1 (en) 2000-04-10 2004-08-03 International Business Machines Corporation Configurable classification interface for networking devices supporting multiple action packet handling rules
US6901080B1 (en) 2000-04-10 2005-05-31 Siemens Communoications, Inc. System and method for providing an intermediary layer for VoIP call pipe establishment
US6862265B1 (en) 2000-04-13 2005-03-01 Advanced Micro Devices, Inc. Weighted fair queuing approximation in a network switch using weighted round robin and token bucket filter
US6940808B1 (en) 2000-04-13 2005-09-06 Nortel Networks Limited Adaptive rate traffic recovery mechanism for communication networks
JP3604615B2 (en) 2000-04-21 2004-12-22 株式会社東芝 Communication device, relay device, and communication control method
US6904014B1 (en) 2000-04-27 2005-06-07 Cisco Technology, Inc. Method and apparatus for performing high-speed traffic shaping
US6556982B1 (en) 2000-04-28 2003-04-29 Bwxt Y-12, Llc Method and system for analyzing and classifying electronic information
AU2001261141A1 (en) 2000-05-02 2001-11-12 Sun Microsystems, Inc. Method and system for achieving high availability in a networked computer system
US20020009060A1 (en) 2000-05-05 2002-01-24 Todd Gross Satellite transceiver card for bandwidth on demand applications
US6922724B1 (en) 2000-05-08 2005-07-26 Citrix Systems, Inc. Method and apparatus for managing server load
US6845106B2 (en) 2000-05-19 2005-01-18 Scientific Atlanta, Inc. Allocating access across a shared communications medium
DE60042965D1 (en) 2000-05-24 2009-10-29 Sony Deutschland Gmbh QoS negotiation
US6937561B2 (en) 2000-06-02 2005-08-30 Agere Systems Inc. Method and apparatus for guaranteeing data transfer rates and enforcing conformance with traffic profiles in a packet network
EP1162795A3 (en) 2000-06-09 2007-12-26 Broadcom Corporation Gigabit switch supporting improved layer 3 switching
US7032031B2 (en) 2000-06-23 2006-04-18 Cloudshield Technologies, Inc. Edge adapter apparatus and method
US6832239B1 (en) 2000-07-07 2004-12-14 International Business Machines Corporation Systems for managing network resources
US20020010765A1 (en) 2000-07-21 2002-01-24 John Border Method and system for prioritizing traffic in a network
US6732185B1 (en) 2000-07-24 2004-05-04 Vignette Corporation Method and system for managing message pacing
US6671732B1 (en) 2000-07-24 2003-12-30 Comverse Ltd. Method and apparatus for control of content based rich media streaming
US6910074B1 (en) 2000-07-24 2005-06-21 Nortel Networks Limited System and method for service session management in an IP centric distributed network
JP2002044136A (en) 2000-07-25 2002-02-08 Hitachi Ltd Flow controller for multi-protocol network
US7068599B1 (en) 2000-07-26 2006-06-27 At&T Corp. Wireless network having link-condition based proxies for QoS management
US6904054B1 (en) 2000-08-10 2005-06-07 Verizon Communications Inc. Support for quality of service and vertical services in digital subscriber line domain
US6718326B2 (en) 2000-08-17 2004-04-06 Nippon Telegraph And Telephone Corporation Packet classification search device and method
US6845100B1 (en) 2000-08-28 2005-01-18 Nokia Mobile Phones Ltd. Basic QoS mechanisms for wireless transmission of IP traffic
US6728749B1 (en) 2000-09-05 2004-04-27 The United States Of America As Represented By The Secretary Of The Army Adaptive scheduling technique for mission critical systems
US6865153B1 (en) 2000-09-20 2005-03-08 Alcatel Stage-implemented QoS shaping for data communication switch
US6832118B1 (en) 2000-09-29 2004-12-14 Rockwell Automation Technologies, Inc. Programmable network control component and system of components
EP1193938A1 (en) 2000-09-29 2002-04-03 Telefonaktiebolaget L M Ericsson (Publ) Method and system for transmitting data
US6822940B1 (en) * 2000-09-29 2004-11-23 Cisco Technology, Inc. Method and apparatus for adapting enforcement of network quality of service policies based on feedback about network conditions
DE60045624D1 (en) 2000-10-03 2011-03-24 Gos Networks Ltd PACKET SEQUENCE CONTROL
US7023851B2 (en) * 2000-10-12 2006-04-04 Signafor, Inc. Advanced switching mechanism for providing high-speed communications with high Quality of Service
US6975638B1 (en) 2000-10-13 2005-12-13 Force10 Networks, Inc. Interleaved weighted fair queuing mechanism and system
US20020191253A1 (en) 2000-10-26 2002-12-19 Dah Yang Toy Industrial Co., Ltd. Method and apparatus for remote control
US6640184B1 (en) 2000-11-10 2003-10-28 Motorola, Inc. Method and apparatus for providing location information
US6888806B1 (en) 2000-11-22 2005-05-03 Motorola, Inc. Method and system for scheduling packets for transmission from a wireless communication platform
GB2369526B (en) 2000-11-24 2003-07-09 3Com Corp TCP Control packet differential service
KR100703499B1 (en) 2000-12-09 2007-04-03 삼성전자주식회사 Database structure for implementing traffic engineering function in multi protocol label switching system and constructing method thereof
US6741562B1 (en) 2000-12-15 2004-05-25 Tellabs San Jose, Inc. Apparatus and methods for managing packets in a broadband data stream
US6947996B2 (en) 2001-01-29 2005-09-20 Seabridge, Ltd. Method and system for traffic control
US6671589B2 (en) 2001-02-13 2003-12-30 William Holst Method and apparatus to support remote and automatically initiated data loading and data acquisition of airborne computers using a wireless spread spectrum aircraft data services link
US6952407B2 (en) 2001-02-22 2005-10-04 Snowshore Networks, Inc. Minimizing latency with content-based adaptive buffering
US6778834B2 (en) 2001-02-27 2004-08-17 Nokia Corporation Push content filtering
US6947378B2 (en) 2001-02-28 2005-09-20 Mitsubishi Electric Research Labs, Inc. Dynamic network resource allocation using multimedia content features and traffic features
US7042843B2 (en) 2001-03-02 2006-05-09 Broadcom Corporation Algorithm for time based queuing in network traffic engineering
US6459687B1 (en) 2001-03-05 2002-10-01 Ensemble Communications, Inc. Method and apparatus for implementing a MAC coprocessor in a communication system
US6928085B2 (en) 2001-03-12 2005-08-09 Telefonaktiebolaget L M Ericsson (Publ) System and method for providing quality of service and contention resolution in ad-hoc communication systems
US7266085B2 (en) 2001-03-21 2007-09-04 Stine John A Access and routing protocol for ad hoc network using synchronous collision resolution and node state dissemination
US6957258B2 (en) 2001-03-28 2005-10-18 Netrake Corporation Policy gateway
US6914882B2 (en) 2001-03-30 2005-07-05 Nokia, Inc. Method and apparatus for improved queuing
US6944168B2 (en) 2001-05-04 2005-09-13 Slt Logic Llc System and method for providing transformation of multi-protocol packets in a data stream
US6928471B2 (en) 2001-05-07 2005-08-09 Quest Software, Inc. Method and apparatus for measurement, analysis, and optimization of content delivery
US20020188871A1 (en) 2001-06-12 2002-12-12 Corrent Corporation System and method for managing security packet processing
US7095715B2 (en) 2001-07-02 2006-08-22 3Com Corporation System and method for processing network packet flows
US6732228B1 (en) 2001-07-19 2004-05-04 Network Elements, Inc. Multi-protocol data classification using on-chip CAM
US20030016625A1 (en) 2001-07-23 2003-01-23 Anees Narsinh Preclassifying traffic during periods of oversubscription
US6912231B2 (en) 2001-07-26 2005-06-28 Northrop Grumman Corporation Multi-broadcast bandwidth control system
US6937154B2 (en) 2001-08-21 2005-08-30 Tabula Rasa, Inc. Method and apparatus for facilitating personal attention via wireless links
JP3633534B2 (en) 2001-09-04 2005-03-30 日本電気株式会社 Adaptive network load balancing method and packet switching apparatus
WO2003026319A2 (en) 2001-09-21 2003-03-27 Nokia Corporation System and method for enabling mobile edge services
US7218610B2 (en) 2001-09-27 2007-05-15 Eg Technology, Inc. Communication system and techniques for transmission from source to destination
EP1300991A1 (en) 2001-10-02 2003-04-09 Lucent Technologies Inc. A method for filtering redundant data packets
DE50214634D1 (en) 2001-10-04 2010-10-14 Nokia Siemens Networks Gmbh DISTRIBUTED TRANSMISSION OF TRAFFIC STREAMS IN COMMUNICATION NETWORKS
US20030158963A1 (en) 2002-02-20 2003-08-21 Sturdy James T. Smartbridge for tactical network routing applications
US7200144B2 (en) 2001-10-18 2007-04-03 Qlogic, Corp. Router and methods using network addresses for virtualization
WO2003058375A2 (en) 2001-10-26 2003-07-17 Zeosoft Corporation Development, management of distributed clients and servers
JP2003152544A (en) 2001-11-12 2003-05-23 Sony Corp Data communication system, data transmitter, data receiver, data-receiving method and computer program
AU2002357711A1 (en) 2001-11-13 2003-05-26 Ems Technologies, Inc. Flow control between performance enhancing proxies over variable bandwidth split links
JP3726741B2 (en) 2001-11-16 2005-12-14 日本電気株式会社 Packet transfer apparatus, method and program
US7224703B2 (en) 2001-12-12 2007-05-29 Telefonaktiebolaget Lm Ericsson (Publ) Method and apparatus for segmenting a data packet
MXPA04005734A (en) 2001-12-15 2004-12-06 Thomson Licensing Sa System and method for delivering data streams of multiple data types at different priority levels.
US7106757B2 (en) 2001-12-19 2006-09-12 Intel Corporation System and method for streaming multimedia over packet networks
US7136909B2 (en) 2001-12-28 2006-11-14 Motorola, Inc. Multimodal communication method and apparatus with multimodal profile
DE10200165A1 (en) 2002-01-04 2003-07-10 Klaus Rock Method for reducing the latency in interactive data communication via a satellite network
US6801940B1 (en) 2002-01-10 2004-10-05 Networks Associates Technology, Inc. Application performance monitoring expert
US7149898B2 (en) 2002-01-14 2006-12-12 Sun Microsystems, Inc. Self-monitoring and trending service system with a cascaded pipeline with enhanced authentication and registration
JP3886811B2 (en) 2002-01-16 2007-02-28 株式会社エヌ・ティ・ティ・ドコモ Communication system, communication method, transmission terminal, reception terminal, and relay device
US7359321B1 (en) 2002-01-17 2008-04-15 Juniper Networks, Inc. Systems and methods for selectively performing explicit congestion notification
ATE293863T1 (en) * 2002-01-23 2005-05-15 Sony Int Europe Gmbh A METHOD FOR TRANSMITTING END-TO-END QOS BY USING THE END-TO-END NEGOTIATION PROTOCOL (E2ENP)
US6892309B2 (en) 2002-02-08 2005-05-10 Enterasys Networks, Inc. Controlling usage of network resources by a user at the user's entry point to a communications network based on an identity of the user
US7260102B2 (en) 2002-02-22 2007-08-21 Nortel Networks Limited Traffic switching using multi-dimensional packet classification
GB2385755B (en) 2002-02-26 2005-07-06 Hewlett Packard Co Apparatus and method for data transfer
JP3799285B2 (en) 2002-03-29 2006-07-19 Necインフロンティア株式会社 Wireless LAN base station, wireless terminal and program
US7385982B2 (en) 2002-04-09 2008-06-10 Next Generation Systems, Inc. Systems and methods for providing quality of service (QoS) in an environment that does not normally support QoS features
US6879590B2 (en) 2002-04-26 2005-04-12 Valo, Inc. Methods, apparatuses and systems facilitating aggregation of physical links into logical link
US7852796B2 (en) 2002-05-13 2010-12-14 Xudong Wang Distributed multichannel wireless communication
GB0211286D0 (en) 2002-05-16 2002-06-26 Nokia Corp Routing data packets through a wireless network
AU2003239555A1 (en) 2002-05-20 2003-12-12 Vigilos, Inc. System and method for providing data communication in a device network
US7289498B2 (en) 2002-06-04 2007-10-30 Lucent Technologies Inc. Classifying and distributing traffic at a network node
US6901484B2 (en) 2002-06-05 2005-05-31 International Business Machines Corporation Storage-assisted quality of service (QoS)
US6888807B2 (en) 2002-06-10 2005-05-03 Ipr Licensing, Inc. Applying session services based on packet flows
US7310314B1 (en) 2002-06-10 2007-12-18 Juniper Networks, Inc. Managing periodic communications
KR20040000336A (en) 2002-06-24 2004-01-03 마츠시타 덴끼 산교 가부시키가이샤 Packet transmitting apparatus, packet transmitting method, traffic conditioner, priority controlling mechanism, and packet shaper
US7272144B2 (en) * 2002-06-26 2007-09-18 Arris International, Inc. Method and apparatus for queuing data flows
US7337236B2 (en) 2002-07-02 2008-02-26 International Business Machines Corporation Application prioritization in a stateless protocol
DE10233954B4 (en) 2002-07-25 2008-02-28 Nokia Siemens Networks Gmbh & Co.Kg Method, communication arrangement and communication device for transmitting data cells via a packet-oriented communication network
AU2003257146A1 (en) 2002-08-02 2004-02-23 Nms Communications Methods and apparatus for network signal aggregation and bandwidth reduction
US7274730B2 (en) 2002-08-26 2007-09-25 Hitachi Kokusai Electric Inc. QoS control method for transmission data for radio transmitter and radio receiver using the method
US6826627B2 (en) 2002-09-03 2004-11-30 Burnbag, Ltd. Data transformation architecture
US7818449B2 (en) 2002-09-03 2010-10-19 Thomson Licensing Mechanism for providing quality of service in a network utilizing priority and reserved bandwidth protocols
US6904058B2 (en) 2002-09-20 2005-06-07 Intel Corporation Transmitting data over a general packet radio service wireless network
US7321591B2 (en) 2002-09-24 2008-01-22 Efficient Networks, Inc. Methods and systems for providing differentiated quality of service in a communications system
SE0203104D0 (en) 2002-10-18 2002-10-18 Ericsson Telefon Ab L M Method and apparatus for network initiated rate control for P2C services in a mobile system
US7433307B2 (en) 2002-11-05 2008-10-07 Intel Corporation Flow control in a network environment
JP4083549B2 (en) 2002-11-26 2008-04-30 株式会社エヌ・ティ・ティ・ドコモ Radio access network system, radio access method and control apparatus
ES2269603T3 (en) 2002-12-04 2007-04-01 Irdeto Access B.V. TERMINAL, SYSTEM OF DISTRIBUTION OF DATA THAT INCLUDES SUCH TERMINAL AND METHOD OF RETRANSMISSION OF DIGITAL DATA.
US7792121B2 (en) 2003-01-03 2010-09-07 Microsoft Corporation Frame protocol and scheduling system
JP2004222010A (en) 2003-01-16 2004-08-05 Nippon Telegr & Teleph Corp <Ntt> Router
US6940832B2 (en) 2003-01-17 2005-09-06 The Research Foundation Of The City University Of New York Routing method for mobile infrastructureless network
US6940813B2 (en) 2003-02-05 2005-09-06 Nokia Corporation System and method for facilitating end-to-end quality of service in message transmissions employing message queues
US7577161B2 (en) 2003-02-26 2009-08-18 Alcatel-Lucent Usa Inc. Class-based bandwidth allocation and admission control for virtual private networks with differentiated service
US6937591B2 (en) 2003-02-27 2005-08-30 Microsoft Corporation Quality of service differentiation in wireless networks
US7555559B2 (en) 2003-02-28 2009-06-30 Onion Networks, KK Parallel data transfer over multiple channels with data order prioritization
US6912198B2 (en) 2003-03-26 2005-06-28 Sony Corporation Performance of data transmission using adaptive technique
GB2417643B (en) 2003-03-31 2007-01-24 Gen Dynamics C4 Systems Inc Call admission control/session management based on N source to destination severity levels for IP networks
US20040210663A1 (en) 2003-04-15 2004-10-21 Paul Phillips Object-aware transport-layer network processing engine
US7349400B2 (en) 2003-04-29 2008-03-25 Narus, Inc. Method and system for transport protocol reconstruction and timer synchronization for non-intrusive capturing and analysis of packets on a high-speed distributed network
ES2222083B1 (en) * 2003-05-06 2006-03-01 Diseño De Sistemas En Silicio, S.A. CLASSIFICATION PROCEDURE FOR PRIORITY SECTIONS.
US8521889B2 (en) * 2003-05-15 2013-08-27 At&T Intellectual Property I, L.P. Methods, systems, and computer program products for modifying bandwidth and/or quality of service for a user session in a network
US7573906B2 (en) * 2003-05-15 2009-08-11 At&T Intellectual Property I, L.P. Methods, computer program products, and systems for managing quality of service in a communication network for applications
JP2004355285A (en) * 2003-05-28 2004-12-16 Nippon Telegr & Teleph Corp <Ntt> Security policy setting method, device, and program
US7349422B2 (en) 2003-06-03 2008-03-25 Microsoft Corporation Providing contention free quality of service to time constrained data
JP2005027240A (en) 2003-07-03 2005-01-27 Nippon Telegr & Teleph Corp <Ntt> QoS CONTROL METHOD AND MULTI-LAYERED QoS CONTROL NETWORK
WO2005006664A1 (en) 2003-07-11 2005-01-20 Nec Corporation Transport layer relay method, transport layer relay device, and program
US7436789B2 (en) 2003-10-09 2008-10-14 Sarnoff Corporation Ad Hoc wireless node and network
US7408932B2 (en) 2003-10-20 2008-08-05 Intel Corporation Method and apparatus for two-stage packet classification using most specific filter matching and transport level sharing
US20050114036A1 (en) 2003-11-26 2005-05-26 Ann Fruhling Specimen reporting system
KR100590772B1 (en) 2003-12-26 2006-06-15 한국전자통신연구원 Apparatus and method of media access control processor for guaranteeing quality of service in wireless LAN
JP2005217491A (en) 2004-01-27 2005-08-11 Nippon Telegr & Teleph Corp <Ntt> Reception processing method/program/program recording medium, and information processing apparatus
WO2005076539A1 (en) 2004-01-30 2005-08-18 Telefonaktiebolaget Lm Ericsson (Publ) Packet scheduling for data stream transmission
JP4639603B2 (en) 2004-02-24 2011-02-23 パナソニック株式会社 Wireless transmission device and power saving driving method for wireless transmission device
EP1575224A1 (en) 2004-03-09 2005-09-14 Matsushita Electric Industrial Co., Ltd. Packet output-controlling device
US7508815B2 (en) 2004-03-31 2009-03-24 Acterna Llc Method and system for facilitating network troubleshooting
US20050220115A1 (en) 2004-04-06 2005-10-06 David Romano Method and apparatus for scheduling packets
US20050232153A1 (en) 2004-04-16 2005-10-20 Vieo, Inc. Method and system for application-aware network quality of service
DE602004011032T2 (en) 2004-06-15 2008-04-30 Matsushita Electric Industrial Co., Ltd., Kadoma Priority based handling of data transfers
US20050281277A1 (en) 2004-06-22 2005-12-22 Killian Thomas J Establishing traffic priorities in a voice over IP network
WO2006001155A1 (en) 2004-06-25 2006-01-05 Aruze Corp. Hanging scroll support device
US20080144493A1 (en) 2004-06-30 2008-06-19 Chi-Hsiang Yeh Method of interference management for interference/collision prevention/avoidance and spatial reuse enhancement
JP2006031063A (en) 2004-07-12 2006-02-02 Hitachi Ltd Priority control system
EP2485442B1 (en) 2004-07-14 2014-01-15 Nippon Telegraph And Telephone Corporation Packet transmission method and packet transmission device
US7808906B2 (en) 2004-07-23 2010-10-05 Citrix Systems, Inc. Systems and methods for communicating a lossy protocol via a lossless protocol using false acknowledgements
US7315963B2 (en) 2004-08-10 2008-01-01 International Business Machines Corporation System and method for detecting errors in a network
US7545788B2 (en) * 2004-08-20 2009-06-09 At&T Intellectual Property I, L.P. Methods, systems, and computer program products for modifying bandwidth and/or quality of service in a core network
US7545815B2 (en) 2004-10-18 2009-06-09 At&T Intellectual Property Ii, L.P. Queueing technique for multiple sources and multiple priorities
JP4564819B2 (en) 2004-10-19 2010-10-20 日本電気株式会社 Data transmission apparatus, data transmission method, data transmission program, and recording medium
US7543072B1 (en) 2004-11-03 2009-06-02 Stampede Technologies, Inc. Method and system capable of performing a data stream over multiple TCP connections or concurrent interleave of multiple data streams over multiple TCP connections
US7440453B2 (en) 2004-11-12 2008-10-21 International Business Machines Corporation Determining availability of a destination for computer network communications
US7392323B2 (en) 2004-11-16 2008-06-24 Seiko Epson Corporation Method and apparatus for tunneling data using a single simulated stateful TCP connection
US8458467B2 (en) 2005-06-21 2013-06-04 Cisco Technology, Inc. Method and apparatus for adaptive application message payload content transformation in a network infrastructure element
KR100594993B1 (en) 2004-11-17 2006-07-03 삼성전기주식회사 Method for discovery reply packet transmission in communication network
US8023408B2 (en) 2004-11-19 2011-09-20 International Business Machines Corporation Dynamically changing message priority or message sequence number
US7539175B2 (en) 2004-11-19 2009-05-26 The Trustees Of Stevens Institute Of Technology Multi-access terminal with capability for simultaneous connectivity to multiple communication channels
EP1834449B1 (en) 2004-12-29 2012-04-18 Telefonaktiebolaget LM Ericsson (publ) Priority bearers in a mobile telecommunication network
US20060140193A1 (en) 2004-12-29 2006-06-29 Nokia Corporation Optimization of a TCP connection
US20060149845A1 (en) 2004-12-30 2006-07-06 Xinnia Technology, Llc Managed quality of service for users and applications over shared networks
WO2007084147A2 (en) 2005-02-02 2007-07-26 Raytheon Company System for situational awareness
US7499457B1 (en) 2005-04-22 2009-03-03 Sun Microsystems, Inc. Method and apparatus for enforcing packet destination specific priority using threads
US7471689B1 (en) 2005-04-22 2008-12-30 Sun Microsystems, Inc. Method and apparatus for managing and accounting for bandwidth utilization within a computing system
US7590756B2 (en) 2005-05-13 2009-09-15 Itt Manufacturing Enterprises, Inc. Method and system for transferring data in a communications network using redundant communication paths
US20080279216A1 (en) 2005-06-06 2008-11-13 Mobidia, Inc. System and Method of Traffic Management Over Mixed Networks
US20060286993A1 (en) 2005-06-20 2006-12-21 Motorola, Inc. Throttling server communications in a communication network
US7477651B2 (en) 2005-07-01 2009-01-13 Cisco Technology, Inc. System and method for implementing quality of service in a backhaul communications environment
US20070058561A1 (en) 2005-07-18 2007-03-15 Starent Networks, Corp. Method and system for quality of service renegotiation
US20070070895A1 (en) 2005-09-26 2007-03-29 Paolo Narvaez Scaleable channel scheduler system and method
US8576846B2 (en) 2005-10-05 2013-11-05 Qualcomm Incorporated Peer-to-peer communication in ad hoc wireless network
US7571247B2 (en) 2005-12-12 2009-08-04 International Business Machines Corporation Efficient send socket call handling by a transport layer
JP4484810B2 (en) 2005-12-15 2010-06-16 株式会社日立製作所 Packet transfer device
US7881199B2 (en) 2006-01-04 2011-02-01 Alcatel Lucent System and method for prioritization of traffic through internet access network
US7924890B2 (en) 2006-02-13 2011-04-12 Cisco Technology, Inc. Apparatus and method for increasing reliability of data sensitive to packet loss
US7929542B2 (en) 2006-03-03 2011-04-19 The Boeing Company Supporting effectiveness of applications in a network environment
US7801129B2 (en) 2006-04-27 2010-09-21 Alcatel-Lucent Usa Inc. Method and apparatus for SIP message prioritization
JP5555488B2 (en) 2006-05-01 2014-07-23 アダプティブ スペクトラム アンド シグナル アラインメント インコーポレイテッド Method and apparatus for characterizing a communication system by combining data from multiple sources
US20070258445A1 (en) 2006-05-02 2007-11-08 Harris Corporation Systems and methods for protocol filtering for quality of service
US20070258459A1 (en) 2006-05-02 2007-11-08 Harris Corporation Method and system for QOS by proxy
US20070263616A1 (en) 2006-05-15 2007-11-15 Castro Paul C Increasing link capacity via traffic distribution over multiple WI-FI access points
US20070291768A1 (en) 2006-06-16 2007-12-20 Harris Corporation Method and system for content-based differentiation and sequencing as a mechanism of prioritization for QOS
US20070291656A1 (en) 2006-06-16 2007-12-20 Harris Corporation Method and system for outbound content-based QoS
US20070291767A1 (en) 2006-06-16 2007-12-20 Harris Corporation Systems and methods for a protocol transformation gateway for quality of service
US8064464B2 (en) 2006-06-16 2011-11-22 Harris Corporation Method and system for inbound content-based QoS
US8516153B2 (en) 2006-06-16 2013-08-20 Harris Corporation Method and system for network-independent QoS
US8730981B2 (en) 2006-06-20 2014-05-20 Harris Corporation Method and system for compression based quality of service
US20070291765A1 (en) 2006-06-20 2007-12-20 Harris Corporation Systems and methods for dynamic mode-driven link management
US20080013559A1 (en) 2006-07-14 2008-01-17 Smith Donald L Systems and methods for applying back-pressure for sequencing in quality of service
US20080025318A1 (en) 2006-07-31 2008-01-31 Harris Corporation Systems and methods for dynamically customizable quality of service on the edge of a network
US20100238801A1 (en) 2006-07-31 2010-09-23 Smith Donald L Method and system for stale data detection based quality of service
US20100241759A1 (en) 2006-07-31 2010-09-23 Smith Donald L Systems and methods for sar-capable quality of service
US8300653B2 (en) 2006-07-31 2012-10-30 Harris Corporation Systems and methods for assured communications with quality of service

Also Published As

Publication number Publication date
EP2039086B1 (en) 2014-11-26
TW200810431A (en) 2008-02-16
US7990860B2 (en) 2011-08-02
US20070291657A1 (en) 2007-12-20
KR101011535B1 (en) 2011-01-27
CA2655252A1 (en) 2007-12-21
WO2007147045A3 (en) 2008-02-21
JP5334845B2 (en) 2013-11-06
KR20090035519A (en) 2009-04-09
CN101473607B (en) 2015-02-18
CN101473607A (en) 2009-07-01
WO2007147045A2 (en) 2007-12-21
EP2039086A2 (en) 2009-03-25
TWI353141B (en) 2011-11-21
JP2009542051A (en) 2009-11-26

Similar Documents

Publication Publication Date Title
CA2655252C (en) Method and system for rule-based sequencing for qos
CA2655983C (en) Systems and methods for adaptive throughput management for event-driven message-based data
CA2650915C (en) Systems and methods for protocol filtering for quality of service
CA2655375C (en) Systems and methods for a protocol transformation gateway for quality of service
EP2050235B1 (en) Systems and methods for sar-capable quality of service
CA2655207C (en) Method and system for inbound content-based qos
US20070291768A1 (en) Method and system for content-based differentiation and sequencing as a mechanism of prioritization for QOS
CA2657278C (en) Method and system for fault-tolerant quality of service
CA2650909C (en) Systems and methods for close queuing to support quality of service
US20080025318A1 (en) Systems and methods for dynamically customizable quality of service on the edge of a network
US20070291656A1 (en) Method and system for outbound content-based QoS
CA2655374A1 (en) Systems and methods for generic data transparent rules to support quality of service
US20080013559A1 (en) Systems and methods for applying back-pressure for sequencing in quality of service

Legal Events

Date Code Title Description
EEER Examination request
MKLA Lapsed

Effective date: 20220301

MKLA Lapsed

Effective date: 20200831