A Cloud Application Fault Diagnosis System Based on Statistical Monitoring

Abstract

The invention provides a cloud application fault diagnosis system based on statistical monitoring. The cloud application fault diagnosis system based on statistical monitoring comprises a monitoring agent, a running status tracker and a fault detection locator, wherein the monitoring agent is used for collecting monitoring information when a cloud application runs; the running status tracker is used for abstracting the running status of the system to be local outlier factors and correlation coefficients; the fault detection locator is used for analyzing the running status of the system according to monitoring data provided by the running status tracker so as to detect a fault and locate reasons of the fault. According to the method, the running status of the system is described from utilization and performance of system resources according to the monitoring data through the local outlier factor and kernel canonical correlation analysis method, the system fault is detected according to a control chart, and abnormal measurements are located through a feature selection method. The method has the advantages that related knowledge of the application such as a software system structure and parameter estimation is not needed, and the method is simple, easy to implement and wide in application range; various faults of the cloud application can be automatically detected without manual intervention, and the abnormal degrees of the measurements can be quantized.

Description

technical field [0001] The invention belongs to the technical field of software, and in particular relates to a cloud application fault diagnosis system based on statistical monitoring. Background technique [0002] In recent years, cloud computing technology has developed rapidly and has been widely used in many fields, becoming a hot spot in the development and application innovation of the current information technology industry. Large-scale IT companies at home and abroad have launched cloud computing platforms (such as Amazon EC2, Google App Engine, Microsoft Azure, IBM SmartCloud, Shanda Cloud, Alibaba Cloud, Sina Cloud), and at the same time, the emergence of open source cloud computing platforms (such as Eucalyptus, OpenStack) It also promotes the development of cloud computing technology research and application. At present, online services such as e-mail, e-commerce, online banking, and social networking have become an indispensable part of people's daily work and...

AI Technical Summary

Problems solved by technology

[0005] The technology of the present invention solves the problem: Aiming at the problems existing in the prior art that it is difficult to obtain application-related knowledge and manually set detection rules in the cloud computing environment, a cloud application fault diagnosis system and method based on statistical monitoring is proposed. It has the advantages of being simple, easy to implement, and widely applicable without requiring application-related knowledge such as software architecture and parameter estimation.

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