WO2011026371A1

WO2011026371A1 - Method and device for detecting validity of historical performance data

Info

Publication number: WO2011026371A1
Application number: PCT/CN2010/074608
Authority: WO
Inventors: 杨海
Original assignee: 中兴通讯股份有限公司
Priority date: 2009-09-07
Filing date: 2010-06-28
Publication date: 2011-03-10
Also published as: CN101645736A

Abstract

A method and device for detecting the validity of the historical performance data are provided in the present invention. The method includes: when a predetermined detection time point is arrived, querying the historical performance data obtained at the time which is the closest to the current time, and determining whether the historical performance data correspond to a preset invalid condition according to the query result; updating the current validity detection result of the historical performance data according to the determined result. The technical solution provided by the present invention solves the problem, existing in the related arts, of poor accuracy and timeliness, as well as low efficiency in identifying the invalid data, which is resulted from the manual query of the historical performance in a certain period by the user. Thus the timely and accurate detection of the historical performance can be enabled and the efficiency of identifying the invalid data can be improved.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to the field of communications, and in particular to a method and apparatus for detecting validity of historical performance data. BACKGROUND The historical performance of an optical transmission device is an important monitoring indicator of a transmission network, and is highly valued by users. Effective historical performance data is the basis for ensuring the normal supervision and maintenance of network equipment. However, in actual live networks, the failure of historical performance data occurs from time to time. Factors such as hardware and software anomalies of the device or network management system, device reset, communication status degradation, and performance counter clearing operations may affect the validity of historical performance data, especially in the case of large network sizes. Common failures include: data loss, data suspicious, data illegal, and so on. If it is not timely warning and timely resolution, it is likely to cause a large accumulation of failure data. Therefore, for the failure of historical performance data, it needs to be discovered as soon as possible so that effective measures can be taken in time to avoid further spread of failure data. However, the existing technology can only manually query the historical performance of a period by the user, and check whether there is invalid data through the query result. The disadvantages of this type of processing are: Since the time of failure of historical performance data is random, it is not predictable in advance, and manual query often cannot accurately find out the data failure. Therefore, the accuracy of the discovery is poor. Even if the failed data is found through regular manual inquiry, the invalid data may have formed a large accumulation and spread at this time. Therefore, the timeliness of discovery is poor. And if the query is too frequent, it will cause additional network bandwidth overhead, affecting the normal transmission performance of other monitoring data. Therefore, the efficiency found is low. SUMMARY OF THE INVENTION The present invention has been made in view of the related art in which the historical performance of a period of time is manually queried by a user, the accuracy and timeliness are poor, and the failure data efficiency is found to be low. Therefore, the main object of the present invention is to provide an improvement. The historical performance data detecting method and apparatus are to solve at least one of the above problems. According to an aspect of the present invention, a method of detecting validity of historical performance data is provided. The method for detecting the validity of the historical performance data according to the present invention includes: querying historical performance data acquired at the latest time from the current time when the predetermined detection time point arrives, and determining whether the preset failure condition is met according to the query result; Judging the result, updating the current validity test result of the historical performance data. According to another aspect of the present invention, an apparatus for detecting validity of historical performance data is provided. The validity detecting device of the historical performance data according to the present invention includes: a detecting unit and a processing unit, wherein the detecting unit is configured to: when the predetermined detecting time point arrives, query the historical performance data acquired at the latest time of the current time, according to The query result determines whether the preset failure condition is met; and the processing unit is configured to update the current validity detection result of the historical performance data according to the determination result. According to the present invention, the historical performance data acquired at the latest time from the current time is detected every predetermined time period to determine whether the preset failure condition is met; and according to the determination result, the validity detection result of the previous historical performance data is refreshed. The problem that the historical performance of the user is manually queried for a period of time in the related art is solved, the accuracy and timeliness are poor, and the invalid data efficiency is found to be low, and the historical performance can be detected in time and accurately, and the efficiency of discovering the invalid data is improved. Other features and advantages of the invention will be set forth in the description which follows, and The objectives and other advantages of the invention will be realized and attained by the <RTI BRIEF DESCRIPTION OF THE DRAWINGS The accompanying drawings, which are set to illustrate,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, In the drawings: FIG. 1 is a flowchart of a method for detecting validity of historical performance data according to an embodiment of the present invention; FIG. 2 is a flowchart of a method for detecting validity of historical performance data according to a preferred embodiment of the present invention; A schematic diagram of a validity detection result in which a performance item is analyzed by a granularity according to an embodiment of the present invention; FIG. 4 is a schematic diagram showing the result of validity detection by using a port as an analysis granularity according to an embodiment of the present invention; FIG. 5 is a schematic diagram showing a result of validity detection by using a single board as an analysis granularity according to an embodiment of the present invention; FIG. 7 is a structural block diagram of a validity detecting apparatus for historical performance data according to an embodiment of the present invention; FIG. 8 is a block diagram of a validity detecting apparatus according to an embodiment of the present invention; FIG. The structure of the validity detecting device of the historical performance data of the embodiment is shown in FIG. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENT The present invention provides historical data performance validity by considering the historical performance of a user to manually query a period of time, the accuracy and timeliness are poor, and the invalid data efficiency is found to be low. The detection scheme periodically processes the historical performance data collected or reported, and analyzes the validity of the latest historical performance data at the current time point; according to the analysis result, determines whether the historical performance data satisfies the failure condition; , updating the current historical performance validity test result; repeating the above steps to dynamically monitor the validity of the historical performance data for monitoring and tracking. It should be noted that the embodiments in the present application and the features in the embodiments may be combined with each other without conflict. The invention will be described in detail below with reference to the drawings in conjunction with the embodiments. Method Embodiments According to an embodiment of the present invention, a method for detecting validity of historical performance data is first provided. 1 is a flow chart of a method for detecting validity of historical performance data according to an embodiment of the present invention. As shown in FIG. 1, the method for detecting validity of historical performance data according to an embodiment of the present invention includes the following processing (step S101 - step S103): Step S101: When a predetermined detection time point arrives, the query 3 is significantly different from the current The most recent moment of the moment The historical performance data is taken according to the query result to determine whether the preset failure condition is met. Preferably, when detecting, the time interval between two adjacent detection time points is greater than or equal to two historical performance data acquired. The time interval, and each detection time point lags behind the time when the historical performance data was last acquired from the detection time point. Preferably, the detection time point is located at any time between two adjacent acquisitions of historical performance data. In the specific implementation process, the timing trigger time of the historical performance data analysis process should be selected between the two adjacent time points of the timing set or report, and the lag time of the previous time point should be no less than the completion of the data set. Or the time required for reporting; the most recent historical performance data refers to the historical performance data of the last timed set or up to 4 minutes before the analysis time point, which should include historical performance data of at least one time point of the data. Preferably, the historical performance data obtained by querying the latest time from the current time in step S101 may further include the following processing:

(1) determining one or more device resource objects to be detected; (2) querying data of one or more device resource objects of historical performance data records acquired at the latest time of the current time. Preferably, whether the device resource object meets the failure condition is determined according to the query result of the data of the one or more device resource objects. Preferably, the failure condition includes at least one of the following: there is missing data, there is suspicious data, there is an illegal data value, the number of data missing exceeds a first preset threshold, and the number of data suspicious exceeds a second preset. The number of illegal thresholds and data values exceeds a third preset threshold. Preferably, the acquired historical performance data mentioned in step S101 may be stored in a database of the network management system and/or a database of the network element control processor. In a specific implementation process, the detection process of step S101 can be implemented at the network management layer or the device layer. The network management system detects the database at the network management layer, and analyzes the database of the network element control processor at the device layer. Step S103: Update the current validity detection result of the historical performance data according to the judgment result. Preferably, the above step S103 may further include the following two cases:

(1) If one or more device resource objects meet the failure condition, it is determined whether the device resource object that meets the failure condition already has a failure alarm, and if not, a failure alarm of the device resource object is generated; In step S101, if the result of the determination is that the failure condition is met, it is further determined whether the historical performance failure alarm has been present in the object corresponding to the failure. If there is such an alarm, no processing is performed; otherwise, a historical performance failure alarm is newly generated on the object corresponding to the failure.

(2) If one or more device resource objects do not meet the failure condition, it is determined whether the device resource object that does not meet the failure condition already has a failure alarm, and if so, the failure alarm of the device resource object is removed. In the specific implementation process, if the result of the step S101 is that the failure condition is not met, it is further determined whether the historical performance failure alarm has been present in the object corresponding to the failure. If there is no such alarm, no processing will be performed; otherwise, the existing alarm will disappear. 2 is a method of detecting the validity of historical performance data in accordance with a preferred embodiment of the present invention. As shown

2, the method for detecting validity of historical performance data according to a preferred embodiment of the present invention includes the following processing (step 4: S201-step 4: S205): Step S201: After the history performance validity detection process is started by the timing trigger module, Query the historical performance data of the report or collection. In the specific implementation process, the query processing process further includes:

(1) Obtain all device resources that should have historical performance data from the device resource management module. The device resources may include, but are not limited to, a network element, a board, a port, and a performance item.

(2) querying historical performance data of the device resource in step (1) in step S201 from a point in time between each two adjacent historical performance sets or reporting time points, and starting and ending time points of the query. The last two adjacent historical performance sets or reporting times before the current time point

Step S203: Traverse all device resources described in step S201, and determine whether the query result has data loss, data suspicious, data value illegal, and the like. If present, the corresponding device resources Accumulate the number of failures. In the specific implementation process, determining whether the query result has data loss, data suspicious, data value illegal, etc. may further include the following processing:

(1) For each performance item of the device resource, the time point of the historical data included between the start and end time points of step (2) in the above step S201 is used as a query condition, and if there is a time point at which the data cannot be found, The corresponding performance item and its network element, board, and port are judged to be missing data.

(2) For each performance item of the device resource, the time point of the historical data included between the start and end time points of step (2) in the above step S201 is the query condition, and if the query obtains the data record, there is a "suspicious" field. If the value is "suspicious", the corresponding performance item and its network element, board, and port are judged as data suspicious.

(3) For each performance item of the device resource, the time point of the historical data included between the start and end time points of step (2) in the above step S201 is used as the query condition, and if the query obtains the data record, the field value is the data. If the illegal value is outside the dictionary range, the corresponding performance item and its network element, board, and port are determined to be illegal. (4) After completing the traversal process of steps (1), (2), and (3) in step S203, determining data invalidity of each device resource according to whether the data meets the failure condition described in FIG. 1, and obtaining each device The data validity result of the resource. Step S205: According to the data validity result of each device resource obtained in step S203, combined with the current alarm state, the process of generating or disappearing the historical performance failure alarm is performed. In the specific implementation process, the step 4 can further include the following processing:

(1) For the device resource whose data is invalid, determine whether the resource currently has a historical performance failure alarm. If it exists, it does not process, and maintains the current alarm state. If it does not exist, a historical performance failure alarm is generated on the resource, and the start time is set to the current time, that is, the resource enters the historical performance failure state. (2) For the device resource with valid data, determine whether the resource currently has a historical performance failure alarm. If it does not exist, it will not be processed, and the current normal state will be maintained. If it exists, the historical performance failure alarm of the resource will disappear, and the end time is set to the current time, which means that the resource has exited the historical performance failure state. The detection result of the historical performance data provided by the present invention can be obtained by referring to FIG. 3 to FIG. 6 . FIG. 3 is a result of validity detection with a performance item as an analysis granularity according to an embodiment of the present invention. As shown in Figure 3, for the network element A, the performance item 1 and the performance item 2 on the port A of the board A, the management control unit (MCU) address in the figure, describes the rack corresponding to the board. The slot number. Suspicious historical performance data existed during the previous week, and the historical performance validity detection module puts it in a failed state. Because the two performance items do not currently have historical performance failure alarms, the alarm management module generates a historical performance failure alarm. In the next cycle, all historical performance data of performance item 1 is restored to the normal effective value, and performance item 2 still has suspicious historical performance data. The historical performance validity detection module sets performance item 1 to the active state and performance item 2 to the invalid state. The alarm management module finds that there is a historical performance failure alarm in performance item 1, so the alarm disappears and the historical performance failure status is exited. Performance item 2 is not processed and its failure state is maintained. FIG. 4 is a schematic diagram showing the results of validity detection by using a port as an analysis granularity according to an embodiment of the present invention. As shown in Figure 4, the performance data of each of the ports 1 and 2 of the network element B-board B is missing. If the number of missing performance exceeds the predetermined threshold, the two ports are It is set to the invalid state, and because the two ports do not currently have historical performance failure alarms, a historical performance failure alarm is generated for each of them. In the next cycle, the number of historical performance data missing for port 1 falls below a predetermined threshold, while the number of missing ports 2 is still above the threshold. Set port 1 to the active state and port 2 to the disabled state. Because the historical performance failure alarm is found on port 1, the alarm disappears and the historical performance failure status is exited. Port 2 is left unprocessed and remains in a failed state. FIG. 5 is a result of validity detection using a single board as an analysis granularity according to an embodiment of the present invention. As shown in Figure 5, all the performance items of the network element C-boards 1, 2 are missing in the historical performance data of the previous week period, and the number of missing data exceeds a predetermined threshold, and the two boards are put into a failure state. Because the two boards do not currently have historical performance failure alarms, they generate a historical performance failure alarm. In the next cycle, the number of missing historical performance data of the board 1 is lower than the predetermined threshold, and the number of missing boards 2 is still higher than the threshold. The board 1 is placed in an active state, and the board 2 is placed in a disabled state. Because the board has a historical performance failure alarm, the alarm disappears and the historical performance failure status is exited. The board 2 is not processed and its failure state is maintained. FIG. 6 is a result of validity detection using a network element as an analysis granularity according to an embodiment of the present invention. As shown in Figure 6, all the performance items of the network elements 1 and 2 have a lack of historical performance data in the previous week. If the number of missing and missing numbers exceeds the predetermined threshold, the two network elements are set to the invalid state, and because the two network elements do not currently have historical performance failure alarms, a historical performance failure alarm is generated for each of the two network elements. In the next cycle, the number of historical performance data missing from NE 1 is below the predetermined threshold, while the missing number of NE 2 is still above the threshold. Then, the network element 1 is set to the active state, and the network element 2 is set to the invalid state. Because the network element 1 is found to have a historical performance failure alarm, the alarm disappears and the historical performance failure status is exited. The network element 2 is not processed, and its failure state is maintained. Through the foregoing embodiment, when the historical performance of the device resource has invalid data, the validity detection method of the historical performance data provided by the present invention can be used to detect in time, and the prompt is presented in an intuitive and clear manner. Compared with the way of manually querying historical performance, this method can significantly improve the timeliness, accuracy and efficiency of discovery. Apparatus Embodiments According to an embodiment of the present invention, a validity detecting apparatus for historical performance data is also provided. Figure 7 is a diagram showing the effectiveness of the historical performance data in the embodiment of the present invention. Figure 8 is a diagram showing the effectiveness of the historical performance data in accordance with a preferred embodiment of the present invention. As shown in FIG. 7, the validity detecting apparatus for historical performance data according to an embodiment of the present invention includes: a detecting unit 1, and a processing unit 2. This will be described below in conjunction with FIG. The detecting unit 1 is configured to: when the predetermined detection time point arrives, query the historical performance data acquired at the latest time of the current time, and determine whether the preset failure condition is met according to the query result; preferably, as shown in FIG. The unit 1 may further include: a device resource management module 10, configured to store a device resource in the current network or a network element that needs to be checked for validity; and a historical performance storage module 12, configured to acquire, by means of collecting or reporting, a device resource corresponding to the device resource The historical performance data is stored, and the historical performance verification module 14 is connected to the device resource management module 10 and the historical performance storage module 12, respectively, for performing historical performance data stored by the historical performance storage module. Querying, and determining whether the preset failure condition is met according to the query result; the timing triggering module 16 is connected to the historical performance validity detecting module 14 for triggering the validity of the historical performance validity detecting module according to the predetermined detection time point arrival Detection. The processing unit 2 is configured to update the historical validity performance result of the historical performance data. Preferably, as shown in FIG. 8, the processing unit 2 may include: an alarm management module 20, and history. The performance validity detection module 14 is connected to the output of the detection unit to generate a failure alarm or remove the failure alarm. For the specific working mode of the modules and the modules included in the above, refer to the descriptions in FIG. 1 and FIG. 2, and details are not described herein again. Through the above embodiments, a validity detecting device for historical performance data is provided. Through the combination of the detecting unit and the processing unit, the historical performance of the user can be manually queried for a period of time in the related art, and the accuracy and timeliness are poor. The problem of low efficiency of failure data is found, and the historical performance can be detected in time and accurately, and the efficiency of discovering invalid data is improved. In summary, through the foregoing embodiments of the present invention, the validity detection scheme of historical performance data is provided. At each detection cycle time point, the historical performance storage module has collected the historical performance of the previous time period. The stored operation is saved in the database of the network management. The timing triggering module starts the historical performance validity detecting process, and the historical performance validity detecting module acquires all the resources to be analyzed from the device resource management module, and traverses the resources, and judges whether each resource has a history according to the corresponding data saved in the network management database. Failure of performance data. It solves the problem that the existing monitoring system can only check the historical performance by manually querying the historical performance, and can not automatically discover the drawbacks of the invalid data. Therefore, the generation of the failure data can be automatically detected, and the user can be notified in a quick and convenient manner to grasp the failure status of the historical performance data at the first time. Obviously, those skilled in the art should understand that the above modules or steps of the present invention can be implemented by a general-purpose computing device, which can be concentrated on a single computing device or distributed over a network composed of multiple computing devices. Alternatively, they may be implemented by program code executable by the computing device, such that they may be stored in the storage device by the computing device, or they may be separately fabricated into individual integrated circuit modules, or they may be Multiple modules or steps are made into a single integrated circuit module. Thus, the invention is not limited to any specific combination of hardware and software. The above is only the preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes can be made to the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the scope of the present invention are intended to be included within the scope of the present invention.

Claims

Claim

A method for detecting validity of historical performance data, comprising:

When the predetermined detection time point arrives, the historical performance data acquired at the latest time of the current time is queried, and it is determined according to the query result whether the preset failure condition is met;

According to the judgment result, the current validity detection result of the historical performance data is updated.

2. The method according to claim 1, wherein a time interval between two adjacent detection time points is greater than or equal to a time interval between two adjacent acquisitions of historical performance data, and each detection time point is delayed. The time at which the historical performance data is acquired most recently from the detection time point.

3. The method according to claim 2, wherein the detection time point is located at any time between two adjacent acquisitions of historical performance data.

The method according to any one of claims 1 to 3, wherein the querying the historical performance data acquired at the latest time from the current time comprises:

Determining one or more device resource objects to be detected;

Querying data of the one or more device resource objects of the historical performance data record acquired at the latest time of the current time.

5. The method according to claim 1, wherein the failure condition comprises at least one of the following:

There are missing data, suspicious data, illegal data values, the number of missing data exceeds the first preset threshold, the number of data suspicious exceeds the second preset threshold, and the number of illegal data values exceeds the third pre- Set the threshold.

The method according to claim 5, wherein, according to the determination result, the current validity detection result of updating the historical performance data comprises:

If the one or more device resource objects meet the failure condition, it is determined whether the device resource object that meets the failure condition already has a failure alarm, and if not, a failure alarm of the device resource object is generated; If one or more device resource objects do not meet the failure condition, it is determined whether the device resource object that does not meet the failure condition already has a failure alarm, and if yes, the failure alarm of the device resource object is removed.

The method according to claim 4, wherein the acquired historical performance data is stored in a database of the network management system and/or a database of the network element control processor.

8. A device for detecting validity of historical performance data, comprising:

The detecting unit is configured to: when the predetermined detection time point arrives, query the historical performance data acquired at the current time of the current time, and determine whether the preset invalid condition is met according to the query result;

And a processing unit, configured to update a current validity detection result of the historical performance data according to the determination result.

The device according to claim 8, wherein the detecting unit comprises:

a device resource management module, configured to store device resources in the current network or network element that need to be tested for validity;

a historical performance storage module, configured to acquire historical performance data corresponding to the device resource by means of collecting or reporting, and storing historical performance data corresponding to the device resource; a historical performance validity detecting module, used for Querying the historical performance data stored by the historical performance storage module, and determining whether the preset failure condition is met according to the query result;

The timing triggering module is configured to trigger the historical performance validity detecting module to perform validity detection when the predetermined detection time point arrives.

The device according to claim 8 or 9, wherein the processing unit comprises: an alarm management module, configured to generate a failure alarm or remove a failure alarm according to an output result of the detection unit.