CN103095533A - Timed monitoring method in cloud calculating system platform - Google Patents
Timed monitoring method in cloud calculating system platform Download PDFInfo
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- CN103095533A CN103095533A CN2013100566791A CN201310056679A CN103095533A CN 103095533 A CN103095533 A CN 103095533A CN 2013100566791 A CN2013100566791 A CN 2013100566791A CN 201310056679 A CN201310056679 A CN 201310056679A CN 103095533 A CN103095533 A CN 103095533A
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Abstract
The invention provides a timed monitoring method in a cloud calculating system platform. The method is that a prediction mechanism is provided for a timed monitoring system in a cloud calculating system so that the cloud calculating system platform can provide service stably and continuously, the system achieves monitoring for a timed task in the cloud calculating system platform based on historical performance data stored in the cloud calculating system platform and combining with a monitoring scheduling module. A data collecting module in the cloud calculating system platform is responsible for collecting performance parameters and alarm logs of all business modules. A failure prediction module of the system achieves statistic analysis for information collected by each monitored node group, generates system performance prediction analysis and sends the analysis to a system administrator. The system administrator can optimize the system according to the analysis so as to avoid the happening of a failure. Accordingly, a good early warning and preventive measure is provided for the continuous operation of the cloud calculating system platform.
Description
Technical field
The present invention relates to the timing monitoring strategies in a kind of cloud computing system platform, be specifically related to the timing method for supervising in a kind of cloud computing system platform.
Background technology
Cloud computing is a kind ofly to take Intel Virtualization Technology as process, and network is carrier, and the services such as base frame, platform and software are provided is form, by cheap computer resource for the user provide fast, reliable and serve efficiently.The cloud computing platform system is the system that the various resources on cloud computing platform are managed, and the cloud computing system platform forms huge infrastructure, data storage, software the resource pool of mutual sharing and collaboration, and takes out on this basis the stratification service.Cloud service makes people needn't be concerned about the specific implementation details of bottom, just calculating and storage is put into high in the clouds and processes, just as convenient with power and water.
Regularly monitoring is the important component part of cloud computing system platform, it be in the cloud computing system platform as the prerequisite of the operations such as the analysis of the scheduling of system management, resource, network and fault detect, and the task scheduling in monitoring technique itself relates to maintenance and very many-sided work such as recovery and thread pool maintenance of the time rule generation of multi-thread concurrent, operation and parsing, various scenes.
In sum, the monitoring in the cloud computing system platform plays an important role for the service quality that improves the cloud computing system platform.
Summary of the invention
The purpose of this invention is to provide the timing method for supervising in a kind of cloud computing system platform.
Monitoring in present most cloud computing system is the data analysis to collecting first, and stores in database.Yet these are all the processing after event occurs, and have the property of delaying, and easily have influence on the normal use of cloud computing service.
The objective of the invention is to realize in the following manner, provide a kind of forecasting mechanism for the timing supervisory control system in cloud computing system, make the cloud computing system platform more stable and continue service is provided, this system is that to take in the cloud computing system platform History Performance Data of storing be basis, in conjunction with the monitoring and scheduling module, the monitoring of realization to timed task in the cloud computing system platform, system comprises: 1) data acquisition module 2) the failure predication monitoring module, wherein:
1) data acquisition module is that each scheduled service module in the cloud computing system platform is carried out the collection of data;
2) failure predication monitoring module, the design of employing hierarchical structure, monitoring is divided into related several groups of tool, each monitoring child node belongs to the sub-branch of upper strata father node, and each child node is not only cheated the monitoring things of processing in this group, simultaneously to the father node feedback monitoring situation on upper strata with to lower floor's leaf node transmission monitor command, the failure monitoring prediction module to the Information Monitoring of each sub-monitor node after statistical analysis, and some business module of the contingent fault of prognoses system and concrete time point, to predict the outcome to feed back in the root monitor node system manager will be carried out to early warning, thereby guarantee that providing of cloud computing system platform is lasting, high-quality service.
Data acquisition module in the cloud computing system platform is responsible for collecting performance parameter and the alarm log collection of each business module.
Failure predication module by system, the information that the node group of each monitoring is collected is carried out statistical analysis, the generation system performance prediction is analyzed and is reported and submitted the system manager, the generation of fault is avoided in the optimization that the system manager can based on analysis carries out system, thereby provides good pre-alarm and prevention measure for the continuous service of cloud computing system platform.
The invention has the beneficial effects as follows:
(1) isolation of abnormal failure.When one of them monitor node abnormal, within can being confined to certain scope to fault, can not affect the operation of other business modules, improved the availability of system;
(2) Fault Forecast Analysis.By the analysis of the History Performance Data to system platform, the contingent problem of system is carried out to early warning.
The accompanying drawing explanation
Fig. 1 is the architectural schematic of cloud computing system platform tradition monitoring;
Fig. 2 is the timing monitoring system structural representation in the cloud computing system platform.
Embodiment
With reference to Figure of description, method of the present invention is described in detail below.
In cloud computing system for timing monitoring system structure provides a kind of forecasting mechanism, make the cloud computing system platform can more stablize and continue service is provided.
This method is to take in the cloud computing system platform History Performance Data stored as basis, in conjunction with the monitoring and scheduling module, realizes the monitoring to timed task in the cloud computing system platform.This strategy comprises: 1, data acquisition module 2, failure predication monitoring module;
(1) data acquisition module, data acquisition module is mainly that each scheduled service module in the cloud computing system platform is carried out the collection of data;
(2) failure predication monitoring module, the failure predication monitoring module, the architecture of employing hierarchical, monitoring is divided into related several groups of tool, and each monitoring child node belongs to the sub-branch of upper strata father node.And each child node not only can be processed the monitoring things in this group, simultaneously to the father node feedback monitoring situation on upper strata with to lower floor's leaf node transmission monitor command.The failure monitoring prediction module to the Information Monitoring of each sub-monitor node after statistical analysis, and some business module of the contingent fault of prognoses system and concrete time point, will predict the outcome to feed back in the root monitor node system manager will be carried out to early warning.Thereby guarantee lasting, the high-quality service of providing of cloud computing system platform.
Embodiment:
Below content of the present invention is described to this process with an object lesson:
The cloud computing system platform operates on a basic platform, and has a virtual data center in this basic platform, and ten virtual machines are arranged under virtual data center.The data acquisition module of cloud computing system platform is responsible for information gathering the stored data base history of forming record of the relevant timed task of virtual data center, monitoring module is the analysis through prediction module according to image data, imminent scheduled service module and time origination point in system are predicted, and send to the system manager, the system manager can make response timely according to prediction and adjust, and does not affect the timing monitor service of whole cloud computing system platform.
Except the described technical characterictic of specification, be the known technology of those skilled in the art.
Claims (3)
1. the timing method for supervising in a cloud computing system platform, it is characterized in that providing a kind of forecasting mechanism for the timing supervisory control system in cloud computing system, make the cloud computing system platform more stable and continue service is provided, this system is that to take in the cloud computing system platform History Performance Data of storing be basis, in conjunction with the monitoring and scheduling module, the monitoring of realization to timed task in the cloud computing system platform, system comprises: 1) data acquisition module 2) the failure predication monitoring module, wherein:
1) data acquisition module is that each scheduled service module in the cloud computing system platform is carried out the collection of data;
2) failure predication monitoring module, the design of employing hierarchical structure, monitoring is divided into related several groups of tool, each monitoring child node belongs to the sub-branch of upper strata father node, and each child node is not only cheated the monitoring things of processing in this group, simultaneously to the father node feedback monitoring situation on upper strata with to lower floor's leaf node transmission monitor command, the failure monitoring prediction module to the Information Monitoring of each sub-monitor node after statistical analysis, and some business module of the contingent fault of prognoses system and concrete time point, to predict the outcome to feed back in the root monitor node system manager will be carried out to early warning, thereby guarantee that providing of cloud computing system platform is lasting, high-quality service.
2. method according to claim 1, is characterized in that, the data acquisition module in the cloud computing system platform is responsible for collecting performance parameter and the alarm log collection of each business module.
3. method according to claim 1, it is characterized in that, failure predication module by system, the information that the node group of each monitoring is collected is carried out statistical analysis, the generation system performance prediction is analyzed and is reported and submitted the system manager, the generation of fault is avoided in the optimization that the system manager can based on analysis carries out system, thereby provides good pre-alarm and prevention measure for the continuous service of cloud computing system platform.
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| CN103346906A (en) * | 2013-06-19 | 2013-10-09 | 华南师范大学 | Intelligent operation and maintenance method and system based on cloud computing |
| CN103401699A (en) * | 2013-07-18 | 2013-11-20 | 深圳先进技术研究院 | Cloud data center security monitoring early warning system and method |
| CN103475696A (en) * | 2013-08-23 | 2013-12-25 | 汉柏科技有限公司 | System and method for monitoring state of cloud computing cluster server |
| CN103744977A (en) * | 2014-01-13 | 2014-04-23 | 浪潮(北京)电子信息产业有限公司 | Monitoring method and monitoring system for cloud computing system platform |
| CN103825779A (en) * | 2014-02-21 | 2014-05-28 | 南京邮电大学 | Method for monitoring state of cloud data center |
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