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Alarm fusion system and method based on data center anomaly monitoring

An exception monitoring and data center technology, applied in hardware monitoring, electrical digital data processing, instruments, etc., can solve problems such as difficult to find training data, complexity of cluster topology state, difficulty in building network models, etc., to reduce alarms Effects of storm, reduction of useless alarms, and refinement of alarm information

Active Publication Date: 2019-11-01
JIANGSU R & D CENTER FOR INTERNET OF THINGS
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Problems solved by technology

[0002] There is such a problem in most of the existing data center operation and maintenance systems: because the monitoring items include the monitoring of each server, the running status of the cluster, and the monitoring of software data running on the server, as well as the complexity of the cluster topology status, resulting in An alarm generated by a component may trigger a series of chain alarms
For systems with large scale and complex structure, it is difficult to build an accurate network model
[0010] The bottleneck of the method based on artificial neural network is that it is not easy to find training data, and different input parameters have a great influence on the results

Method used

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  • Alarm fusion system and method based on data center anomaly monitoring
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  • Alarm fusion system and method based on data center anomaly monitoring

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Embodiment Construction

[0044] The present invention will be further described below in conjunction with specific drawings and embodiments.

[0045] The alarm fusion method based on abnormal monitoring of the data center proposed by the present invention is based on the correlation analysis of events, and is designed through the process of alarm collection->alarm preprocessing->alarm correlation analysis->alarm integration output; through the alarm information Correlation analysis and a series of processing to reduce the redundancy of alarm information, so as to help operation and maintenance personnel lock the process of root alarm information step by step; the specific steps are as follows:

[0046] Step S1, alarm collection: collect alarm information from various data sources monitored by the entire operation and maintenance system in a series of time windows;

[0047] Step S2, alarm preprocessing: perform de-redundancy operations on the collected alarm information, and extract key alarm information...

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Abstract

The invention provides an alarm fusion method based on data center anomaly monitoring. The alarm fusion method comprises the following steps: S1, alarm collection: collecting alarm information from each data source monitored by a whole operation and maintenance system in a series of time windows; S2, alarm preprocessing: carrying out redundancy elimination operation on the collected alarm information, and extracting key alarm information in the collected alarm information; S3, alarm association analysis: discovering association rules of the preprocessed alarm information according to a certainalgorithm; and S4, alarm integration and output: performing de-duplication and integration operation on the newly arrived alarm information within a certain time according to the association rule ofthe alarm information discovered in the step S3, and outputting the alarm information to a database. According to the invention, redundant information in the alarm information can be eliminated. The alarm information with a causal relationship is fused, so that the workload and the working difficulty of operation and maintenance personnel are reduced. The operation and maintenance cost is reduced.

Description

technical field [0001] The invention relates to the technical field of alarm monitoring for data center operation and maintenance systems, in particular to an alarm fusion method based on data center abnormal monitoring. Background technique [0002] There is such a problem in most of the existing data center operation and maintenance systems: because the monitoring items include the monitoring of each server, the running status of the cluster, and the monitoring of software data running on the server, as well as the complexity of the cluster topology status, resulting in A component that generates an alarm may trigger a chain of chain alarms. That is to say, one fault will lead to another fault in the form of reaction chain, which will generate countless alarms, which will mask the real important fault. Moreover, most of the alarms do not contain information about the real cause of the fault, but a large number of alarms will appear when a fault occurs, some of which are r...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F11/32G06F11/30
CPCG06F11/327G06F11/3055Y04S10/50
Inventor 马玉峰董怡瑾台宪青
Owner JIANGSU R & D CENTER FOR INTERNET OF THINGS
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