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Research on resources scheduling technology based on fuzzy clustering analysis

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4 Author(s)
Mei Luo ; Comput. Sci. Sch., Northwestern Polytech. Univ., Xian, China ; Kailong Zhang ; Longhui Yao ; Xingshe Zhou

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.

Published in:

Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on

Date of Conference:

29-31 May 2012