Anomaly positioning method and device thereof

Abstract

The embodiment of the invention provides an anomaly positioning method and a device thereof. The method comprises the following steps: acquiring a first alarm number of a service system in each dimension in a first time period; for any dimension, clustering based on second alarm numbers of the dimension in first N second time periods of the first time period and the first alarm number, and determining whether the first alarm number is abnormal or not; if yes, constructing a network diagram based on configuration management information of the service system and the alarms in the first time period; wherein the network diagram comprises alarm nodes for generating the alarms and associated nodes having associated paths with the alarm nodes; wherein the duration of the second time period is the same as that of the first time period; and determining an alarm aggregation node in the network diagram as an abnormal root cause; wherein the alarm aggregation node is a node with an association path meeting a first set requirement in the network diagram. The method is used for improving the operation and maintenance efficiency, reducing the operation and maintenance cost and realizing automatic anomaly positioning.

Description

technical field [0001] The present invention relates to the field of network technology, in particular to an abnormal location method and device. Background technique [0002] In recent years, with the development of computer technology, more and more technologies are applied in the financial field, and the traditional financial industry is gradually transforming into Fintech. However, due to the security and real-time requirements of the financial industry, there are also requirements higher requirement. For example, the financial industry realizes the online processing of most of the business by setting up the business system, which greatly speeds up the business processing speed. [0003] At present, for the operation and maintenance of the business system, the operation and maintenance personnel generally analyze the alarm information to locate the abnormality. However, with the increase in demand for more types of business functions, the corresponding development of a...

AI Technical Summary

Problems solved by technology

However, with the increase in demand for more types of business functions, the corresponding development of a large number of business functions, the sharp increase in the amount of system data, and the complexity of data structures and business logic, the pressure on operation and maintenance personnel for the operation and maintenance of business systems is increasing. Operation and maintenance personnel must have rich experience to locate anomalies relatively accurately, making the current business system abnormal location too dependent on the experience and knowledge level of operation and maintenance personnel

In addition, manual operation and maintenance will also lead to a long period of abnormal location, which consumes a lot of labor costs and abnormal business system costs

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