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Journal of Zhejiang University SCIENCE C 2014 Vol.15 No.6 P.423-434

http://doi.org/10.1631/jzus.C1300204


Dynamic task scheduling modeling in unstructured heterogeneous multiprocessor systems


Author(s):  Hamid Tabatabaee, Mohammad Reza Akbarzadeh-T, Naser Pariz

Affiliation(s):  Department of Computer Engineering, Islamic Azad University, Quchan Branch, Quchan, Iran; more

Corresponding email(s):   hamid.tabatabaee@Iauq.ac.ir

Key Words:  Dynamic task scheduling, Fuzzy logic, Genetic algorithms, Unstructured environment, Linear switching state spaceAn erratum to this article can be found at doi:10.1631/jzus.C13e0204


Hamid Tabatabaee, Mohammad Reza Akbarzadeh-T, Naser Pariz. Dynamic task scheduling modeling in unstructured heterogeneous multiprocessor systems[J]. Journal of Zhejiang University Science C, 2014, 15(6): 423-434.

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author="Hamid Tabatabaee, Mohammad Reza Akbarzadeh-T, Naser Pariz",
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year="2014",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.C1300204"
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%A Hamid Tabatabaee
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%A Naser Pariz
%J Journal of Zhejiang University SCIENCE C
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%DOI 10.1631/jzus.C1300204

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A1 - Hamid Tabatabaee
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A1 - Naser Pariz
J0 - Journal of Zhejiang University Science C
VL - 15
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SP - 423
EP - 434
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DOI - 10.1631/jzus.C1300204


Abstract: 
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.

非结构化异构多处理器系统中的动态任务调度建模

研究目的:针对时变异构多处理器系统中关联任务调度提出一种算法。
方法提亮:该算法允许计算能力和处理器之间的连接随时间变化,考虑了链路竞争问题。引入线性切换状态空间建模范式,从系统工程学角度实现理论分析。理论分析显示了该模型在处理能力变化和连接失效情况下的鲁棒性。运用模糊决策程序处理多处理器系统中的变化。
重要结论:几个随机实验以及与近期提出的基准点分析法的比较,说明了所提算法的有效性。实验结果显示,使用此算法可以平均节省18%完工时间,且在系统规模较大时节省比例更高。

关键词:动态任务调度;模糊逻辑;遗传算法;非结构化环境;线性切换状态空间

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

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