Method for correlation analysis of layer network alarm with business and device thereof

Abstract

Disclosed are a method and apparatus for correlation analysis of layered network alarms and services, wherein the method including: constructing the whole network service layer topology structure, where the relationships of connected services in adjacent service layers are client layer service and server layer service from top to down; relating alarms reported by network elements to services according to correlation rules; on the basis of the whole network service layer topology structure and alarms related to services, determining local layer alarm status and server layer alarm status of the services. This invention enables network management system to obtain local layer alarm status and server layer status according to the relationships of alarms reported by network elements and services on the network elements and further to estimate the number of services affected by alarms and the influence degree, thereby analyzing service fault status, accelerating the positioning of critical network failure and reducing operation and maintenance cost. This invention makes the positioning of critical network failure more efficient by suppressing derivative alarms, decreasing the number of alarms reported by network elements and filtering out more important alarms.

Description

technical field [0001] The invention relates to the technical field of communication service failure maintenance, in particular to a layer network alarm and service correlation analysis method and device. Background technique [0002] With the rapid development of IP (Internet Protocol, Internet Protocol) network, the bearer network needs to undertake more and more traditional telecommunication services and emerging services, the network business volume is increasing rapidly, and the network scale is constantly expanding. getting bigger. [0003] The IP network bears multiple service layers, such as: physical layer, data link layer, network layer, transport layer, session layer, and application layer. Therefore, it belongs to a layered network, referred to as a layered network. Optical synchronous transmission network is also a layer network. At present, when maintaining network services at the layer, the operation and maintenance personnel usually check the alarm informat...

AI Technical Summary

Problems solved by technology

In addition, users also need to configure a large number of OAM (Operation Administration and Maintenance, operation, management, and maintenance) entities to detect faults for the business. Not only is the configuration and maintenance complicated, but the number of OAM entities is also limited by hardware capabilities, which makes the overall operation and maintenance costs very high. high

[0005] 2. The root cause failure of the bottom layer will lead to a large number of derived alarms from the upper layer business, making it very difficult to find important and root cause alarms in a large number of alarms. It is not only difficult for operation and maintenance personnel to assess the extent to which the fault affects the business, but also to solve the most important network faults in time. , and the network management system has to process a large amount of alarm information

[0006] Common alarm correlation analysis methods mainly focus on the analysis of the suppression relationship between root cause alarms and derived alarms, such as expert system methods, alarm rule methods, etc., but do not involve analysis of the correlation relationship between alarms and services, especially the impact of alarms on services And the fault status of the business, which is not conducive to the operation and maintenance personnel to timely assess the extent to which the fault affects the business and find the network fault that most affects the business

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