Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Cloud computing fault data detection method and system

A detection method and fault data technology, applied in the field of cloud fault detection, can solve the problems that affect the effective identification of new faults, do not fully consider the internal relationship of training data, and the update of fault type database is not timely enough, etc.

Active Publication Date: 2018-01-12
KUNMING UNIV OF SCI & TECH
View PDF2 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, the method for cloud computing fault data detection is mainly to establish a fault training data training model through data collection, and then detect the cloud computing data to be detected, which does not fully consider the internal relationship of the training data, and the update of the fault type database Not timely enough, it will affect the effective identification of new faults

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
  • Cloud computing fault data detection method and system
  • Cloud computing fault data detection method and system
  • Cloud computing fault data detection method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0088] Embodiment 1: as Figure 1-4 As shown, a cloud computing fault data detection method includes:

[0089] The cloud computing fault training data processing step is to process the data in the cloud computing fault training data set to obtain the degree of membership of each fault training data and the fault feature weight of each fault category;

[0090] The step of judging the fault category of the cloud computing data to be detected is to judge the category of the cloud computing data to be detected according to the processing results of the fault training data and in combination with the expansion rules of the cloud computing fault training data set;

[0091] In the step of expanding the cloud computing fault training data set, the cloud computing data to be detected and its category information satisfying the expansion rules of the cloud computing fault training data set are added to the fault training data expansion set.

[0092] A cloud computing fault data detecti...

Embodiment 2

[0096] Embodiment 2: as Figure 1-4 As shown, the cloud computing fault training data set D is shown in Table 1,

[0097] Table 1

[0098]

[0099] The cloud computing data set U is shown in Table 2.

[0100] Table 2

[0101]

[0102]

[0103] In this example, cloud computing fault data is used as the fault training data set D. The D is composed of 2 fault categories and 10 fault training data, and each data has 4 fault features, in which category 1 is cloud computing network fault, category 2 is cloud computing IO port fault, and the 4 fault features are cpu usage rate, hard disk usage, IO port usage and network usage; D={D 1 ,...D i ,...,D m},D i ={x i1 ,...,x ij ,...,x in}, xij=[x ij1 ,...,x ijl ,...,x ijp ,c i ], i=1,.2,...,m, j=1,2,...,n, l=1,2,...,p, where D i is the fault training data of fault category i, x ij is the training data for the jth fault in the fault category i, x ijl is the lth fault feature of the jth fault training data in fault ...

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 relates to a cloud computing fault data detection method and system, and belongs to the field of cloud fault detection. The cloud computing fault data detection method comprises: a cloudcomputing fault training data processing step: processing the data in a cloud computing fault training data set to obtain a degree of membership of each cloud computing fault training data and the fault feature weight of each fault category; a to-be-detected cloud computing data fault category judgment step: judging the fault category of the to-be-detected cloud computing data according to the processing result of the cloud computing fault training data in combination with a cloud computing fault training data set expansion rule; and a cloud computing fault training data set expansion step: adding the to-be-detected cloud computing data satisfying the cloud computing fault training data set expansion rule and the category thereof to a fault training data set. By adoption of the cloud computing fault data detection method and system, the fault training data model is perfected beneficially, and new faults are identified.

Description

technical field [0001] The invention relates to a cloud computing fault data detection method and system, belonging to the field of cloud fault detection. Background technique [0002] Fault detection mainly studies how to detect, separate and identify faults in the system, that is, to judge whether a fault occurs, locate the location and type of the fault, and determine the size and time of the fault. In recent years, the application technology of cloud computing has become more and more extensive. However, a large number of malicious attacks and its own complexity and large-scale make the system and various software and hardware on it often fail, causing some or even all services to fail. Cloud computing fault detection technology has become a research hotspot in this field. Rao Xiang et al. proposed a fault feature extraction method based on fault injection testing, first filtering the noise log; then constructing a fault recognizer to identify the early features of diff...

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): H04L12/24H04L12/26H04L29/08
Inventor 姜瑛刘诚诚李凌宇刘英莉丁家满汪海涛
Owner KUNMING UNIV OF SCI & TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com