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Dynamic task scheduling modeling in unstructured heterogeneous multiprocessor systems
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作者 Hamid TABATABAEE Mohammad Reza AKBARZADEH-T Naser PARIZ 《Journal of Zhejiang University-Science C(Computers and Electronics)》 SCIE EI 2014年第6期423-434,共12页
An algorithm is proposed for scheduling dependent tasks in time-varying heterogeneous multiprocessor systems, in which computational power and links between processors are allowed to change over time. Link contention ... An algorithm is proposed for scheduling dependent tasks in time-varying heterogeneous multiprocessor systems, in which computational power and links between processors are allowed to change over time. Link contention is considered in the multiprocessor scheduling problem. A linear switching-state space-modeling paradigm is introduced to enable theoretical analysis from a system engineering perspective. Theoretical analysis of this model shows its robustness against changes in processing power and link failure. The proposed algorithm uses a fuzzy decision-making procedure to handle changes in the multiprocessor system. The efficiency of the proposed algorithm is illustrated by several random experiments and comparison against a recent benchmark approach. The results show up to 18% average improvement in makespan, especially for larger scale systems. 展开更多
关键词 Dynamic task scheduling Fuzzy logic Genetic algorithms Unstructured environment Linear switching state space
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