Performance abnormality prediction method in distributed system and system

Abstract

The invention relates to a performance abnormality prediction method in a distributed system and a system. The historical performance data and real-time performance data are collected through the monitoring system of a distributed environment, a characteristic value is employed to extract the characteristic of description data, the mode of a performance variable is constructed, a classification model is trained through Naive Bayesian classification, a current data mode and historical data modes are compared, a mode which is most similar to the current data mode is found in the historical data modes, and finally a question whether the current data mode is in an abnormal state is predicated according to a Naive Bayesian predication model. According to the method and the system, for the abnormal performance prediction in the distributed system, the problem of the characteristic of a variable is considered comprehensively, the accuracy is high, a machine learning method Bayesian model is employed to guide the prediction, the performance abnormality situation is detected in real time, the detected prediction is estimated and analyzed through the previously obtained Bayesian model, the confidence of the prediction is raised, the degree of automation is high, and the reliability and practicality of the prediction are improved.

Description

technical field [0001] The invention relates to a performance abnormality detection and prediction method and system, in particular to a performance abnormality prediction method and system in a distributed system. Background technique [0002] In a distributed system, each computer is independent of each other and can be physically adjacent or geographically dispersed. They are connected through a network or other means to form a whole. In terms of research, distributed computing has the following characteristics: 1. Resource sharing; 2. Scalability; 3. Fault tolerance; 4. Concurrency. [0003] In order to better reflect the powerful ability of distributed computing to process data calculations, monitoring the distributed computing environment will become particularly important and critical. The system must coordinate the operation of these tasks, allocate resources reasonably to make full use of resources and improve the performance of the entire system. Typically, the s...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a performance abnormal prediction method and system in a distributed system, which solves the problem that the performance prediction of a distributed environment is not highly automated, and only observes from the perspective of variable values ​​​​and cannot fully consider the characteristics of variables.

Images