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Method for detecting abnormity of OpenStack cloud platform

A detection method and cloud platform technology, applied in digital transmission systems, electrical components, transmission systems, etc., can solve problems such as instability, system crashes, and no OpenStack abnormal fault-tolerant mode, so as to reduce maintenance participation and complexity Effect

Inactive Publication Date: 2013-07-31
SOUTH CHINA UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In practical application, the OpenStack cloud platform is prone to various unstable problems, and even system crashes. There are few studies on this, and there is no research on abnormal monitoring of OpenStack abnormal fault-tolerant mode in China

Method used

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  • Method for detecting abnormity of OpenStack cloud platform
  • Method for detecting abnormity of OpenStack cloud platform
  • Method for detecting abnormity of OpenStack cloud platform

Examples

Experimental program
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Embodiment

[0036] Such as figure 1 As shown, in order to implement the 5 steps described in the technical plan and the 4 steps of the additional improvement plan, we will implement the process in four parts: abnormal monitoring, abnormal information analysis, updating the list of abnormal events and improving the ability of distribution and statistical analysis composition. According to the monitoring and analysis rules, the abnormal monitoring thread and abnormal information statistical analysis module extracts, parses, encapsulates, and distributes the abnormal information of OpenStack operation, and finally performs abnormal processing and feedback.

[0037] The detailed implementation process is as follows:

[0038] (1) Implementation of abnormal information monitoring:

[0039] Define the exception information that cannot be automatically discovered by the OpenStack component program as implicit exception information; define the exception information that the OpenStack component p...

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Abstract

The invention discloses a method for detecting abnormity of an OpenStack cloud platform. The method comprises the following steps that (1), an abnormity monitoring and analyzing rule is defined, wherein the monitoring and analyzing rule is a basis for locating and extracting abnormity information, and extracting an abnormity event; (2), the abnormity information is located, wherein operation information of OpenStack comprises description of a resource situation, a running state and an abnormity situation of an infrastructure service of a cloud computing platform; (3), the abnormity information is extracted; the abnormity information in the operation information is extracted and converted into a self-defining format; (4); the abnormity information is counted and analyzed, and a final abnormity event is obtained; and (5), an abnormity event list is updated. The method has the advantages that the method can conveniently and quickly detect common explicit abnormity information and implicit abnormity information of the OpenStack, and a manual participation degree can be reduced.

Description

technical field [0001] The invention relates to a cloud computing platform infrastructure service abnormality monitoring technology, in particular to an OpenStack cloud platform abnormality detection method, which can detect the abnormality of the cloud computing platform in the service process in time. Background technique [0002] With the increasing development of cloud computing technology, a variety of cloud computing platforms have emerged. As a cloud computing platform, OpenStack provides solutions for cloud computing infrastructure services. OpenStack has won the industry due to its full open source and easy expansion features. More and more attention. [0003] Abnormal monitoring is an important part of the cloud computing service platform. At present, the abnormal monitoring of cloud computing platform infrastructure services is mostly in two modes: abnormal prediction and abnormal fault tolerance; abnormality, and take corresponding preventive measures; the latte...

Claims

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Application Information

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IPC IPC(8): H04L12/24H04L12/26H04L29/08
Inventor 金连文黎德生李磊
Owner SOUTH CHINA UNIV OF TECH
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