Alarm generation method and system

Abstract

The invention provides an alarm generation method and system. The alarm generation method is carried out in a cloud computing environment on the basis of a big data analysis technology. The method includes the following steps that: the operation data of a monitoring object and the operation data of at least one association object are collected on the basis of a predetermined collection policy, wherein the association objects are objects directly or indirectly affecting the operation state of the monitoring object; the pre-stored historical operation data of the monitoring object and the at least one association object are acquired on the basis of a predetermined data analysis policy, and data analysis is performed on the collected operation data of the monitoring object, the operation dataof the at least one association object and the acquired historical operation data of the monitoring object and the at least one association object, so that the performance trend and state change of the monitored object is obtained; and intelligent alarm analysis decision is performed on the performance trend and state change of the monitored object on the basis of an alarm policy, whether an alarm is to be generated is determined.

Description

technical field [0001] The present invention generally relates to the field of monitoring alarms in the field of cloud computing, and more particularly relates to an alarm generation method and system. Background technique [0002] With the implementation of cloud computing, big data and distributed related technologies, the number of equipment and services of telecom operators has increased suddenly, and the types and numbers of alarms have also increased. Therefore, the workload of resource monitoring and operation and maintenance will also increase. How to locate fault alarms more accurately, eliminate false alarms, reduce repetitive alarms, and realize correlated alarms has become an urgent problem to be solved. [0003] Most monitoring systems now generally use threshold alarms, which are realized mainly by setting a threshold value for the indicators that need to be monitored. When the collected indicator data is greater than the set value, an alarm will be generated. ...

AI Technical Summary

Problems solved by technology

In order to distinguish the severity of alarms, several levels of values ​​(general, important, serious, urgent, etc.) are also set for indicators. This alarm technology will generate many levels of alarms, and it is easy to generate false alarms (such as: indicator An instantaneous value is greater than the set threshold, but then the index returns to normal), some relatively complete monitoring systems such as mobile BOMC system, telecom ITSM system, are composed of CMDB, service process, basic platform monitoring, business monitoring and other supporting systems , but the design of its alarm system is still inseparable from the indicator-based threshold alarm mode, and has not yet realized intelligent and dynamic alarms. It still uses post-processing methods to deal with large-scale alarms and false alarms.

Solve problems through functions such as automatic alarm elimination, automatic alarm escalation, automatic alarm processing process, and personalized alarm SMS subscription reminders, which are difficult to achieve alarm prevention and predictive analysis

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