Self-organized mapping model based cloud software performance exception error diagnosis method and system

A self-organizing mapping, software performance technology, applied in error detection/correction, software testing/debugging, instrumentation, etc., can solve problems such as inability to effectively help developers, find out the cause of abnormality, inability to effectively expand, etc., to achieve convenient The effect of rapid application and deployment, wide application scenarios, saving time and cost of manual testing and inspection

Active Publication Date: 2016-06-15
HUAZHONG UNIV OF SCI & TECH
View PDF4 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In view of the above shortcomings or improvement needs of the prior art, the present invention provides a cloud software performance abnormality error diagnosis method based on the self-organizing map model. A lar

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Self-organized mapping model based cloud software performance exception error diagnosis method and system
  • Self-organized mapping model based cloud software performance exception error diagnosis method and system
  • Self-organized mapping model based cloud software performance exception error diagnosis method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0032] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not constitute a conflict with each other.

[0033] The overall idea of ​​the present invention is that when the abnormal performance of the system is found, the recorded system call situation during system operation is used to detect the abnormal system operation process and locate the relevant system call that causes the abnormal performance.

[0034] Such as figure 1 As shown, the cloud software performance abnormal error diagnosis met...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a self-organized mapping model based cloud software performance exception error diagnosis method. The method comprises the steps of tracking and recording system call information of to-be-detected software during running in a cloud environment; analyzing a system call sequence during software running in a virtual machine with a performance exception, and dividing a system call sequence corresponding to each process; according to the process system call sequence obtained by division, establishing a detection model and performing exception detection on a suspicious process; and calculating most related system calls in a process with an exception, and performing sorting and output. According to the method, a behavior during software running can be accurately and completely recorded, the automated modeling can be carried out, the exceptional system running process can be detected, and the system call related to the exceptional running process can be positioned more accurately. The invention aims to provide a method for automatically analyzing and positioning related system calls causing performance exception errors when the performance exception errors occur, thereby assisting developers to position and solve potential performance bugs in the software more quickly and efficiently.

Description

technical field [0001] The invention belongs to the field of computer software error diagnosis, and more specifically relates to a method and system for cloud software performance abnormality error diagnosis based on a self-organizing map model. Background technique [0002] In the cloud computing environment, abnormal performance errors have become one of the most concerned issues for users. System performance degradation caused by performance bugs will affect the quality of service to users, and even cause service level agreement violations, resulting in serious economic losses. But many times the diagnosis of performance bugs is very difficult. First of all, the triggering of performance bugs depends on specific inputs or special configurations, and will only appear under specific conditions, making it difficult to reproduce. Then, after a performance bug is triggered, error messages are rarely output, and relevant diagnostic information cannot be directly provided to d...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06F11/36
CPCG06F11/3684
Inventor 邹德清代炜琦文子龙金海
Owner HUAZHONG UNIV OF SCI & TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap