Fuzzy Decision Efficiency for Multiprocessor Architecture Configuration | Zendy

Najar Yousra | Zendy; Samir Ben Ahmed | Zendy

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Fuzzy Decision Efficiency for Multiprocessor Architecture Configuration

Author(s) -

Najar Yousra,

Samir Ben Ahmed

Publication year - 2019

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2019.09.185

Subject(s) - computer science , multiprocessing , frequency scaling , control reconfiguration , energy consumption , fuzzy logic , architecture , embedded system , distributed computing , real time computing , computer architecture , parallel computing , artificial intelligence , art , ecology , visual arts , biology

Dynamic voltage/frequency scaling (DVFS) has been an efficient technique in exploiting multi-processors configurable characteristics. However, for large class of embedded real time applications, changing processors frequency interferes with tasks deadline guarantee. Under homogenous multiprocessor architecture, we are interested in intelligent offline/online reconfiguration based on fuzzy inference system. This paper investigates the efficiency of using fuzzy decision in multiprocessor architecture configuration. Goals of decision making are system schedulability guarantee and energy consumption optimization. Experiments concern real time periodic tasks scheduled with global EDF and realized over a developed simulation environment that supports DVFS technique. Different simulations were realized on H264 Video Decoder in order to evaluate the proposed approach response.

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