Research on resources scheduling technology based on fuzzy clustering analysis

Mei Luo, Kailong Zhang, Longhui Yao, Xingshe Zhou

科研成果: 书/报告/会议事项章节会议稿件同行评审

3 引用 (Scopus)

摘要

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.

源语言英语
主期刊名Proceedings - 2012 9th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2012
152-155
页数4
DOI
出版状态已出版 - 2012
活动2012 9th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2012 - Chongqing, 中国
期限: 29 5月 201231 5月 2012

出版系列

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

会议

会议2012 9th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2012
国家/地区中国
Chongqing
时期29/05/1231/05/12

指纹

探究 'Research on resources scheduling technology based on fuzzy clustering analysis' 的科研主题。它们共同构成独一无二的指纹。

引用此