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摘要: 针对异构环境独立任务调度问题提出两个调度原则,并基于Min-min算法提出优先级最小最早完成时间算法(Priority min-min,PMM).该算法将任务在各处理机上执行时间的标准误差作为任务的优先级.选取最早完成时间较小的k个任务,优先调度其中优先级最高的一个.在实验基础上分析了参数$k$对PMM算法性能的影响. PMM算法克服了min-min算法单纯追求局部最优的局限性,更适合于异构环境.实验数据表明PMM算法能有效地降低调度跨度,其性能比min-min算法有明显提高.Abstract: This paper presents two scheduling principles suitable to independent job scheduling in heterogeneous computing environment. A new algorithm named Priority Min-min (PMM) is presented, which computes jobs0 priorities based on their standard deviation of execution time. PMM chooses k jobs which have smaller earliest finish times, and assigns the job with the highest priority to the corresponding processor. This paper analyses how k influences the performance of PMM by experiment. PMM is more suitable for heteroge- neous processor platforms by surmounting the limitation of Min-min. The experimental data show that PMM reduces the makespan effectively and its performance is much better than Min-min.
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Key words:
- Scheduling /
- EFT /
- MET /
- makespan /
- standard deviation
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