Research on resources scheduling technology based on fuzzy clustering analysis

Mei Luo, Kailong Zhang, Longhui Yao, Xingshe Zhou

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

To improve the resources utilization of complex hardware/software system, and response to real-time task instantly, this paper proposed a scheduling model of task resources and its fuzzy membership function based on fuzzy clustering analysis algorithm, and gave a method using average distance to calculate the distance between two membership functions. In addition, we also designed 'Fuzzy Resources Clustering Algorithm, FRCA', which could find out the resources occupied by tasks. A simulation test was applied on a certain complex embedded real-time system, the results illustrated that the proposed algorithm was able to efficiently schedule task resources, and make the system has a quick response to tasks.

Original languageEnglish
Title of host publicationProceedings - 2012 9th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2012
Pages152-155
Number of pages4
DOIs
StatePublished - 2012
Event2012 9th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2012 - Chongqing, China
Duration: 29 May 201231 May 2012

Publication series

NameProceedings - 2012 9th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2012

Conference

Conference2012 9th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2012
Country/TerritoryChina
CityChongqing
Period29/05/1231/05/12

Keywords

  • fuzzy clustering analysis
  • real-time tasks
  • utilization ratio of resources

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