COOLIP: Simple yet effective job allocation for distributed thermally-throttled processors

Pratyush Kumar, Hoeseok Yang, Iuliana Bacivarov, L. Thiele
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引用次数: 5

Abstract

Thermal constraints limit the time for which a processor can run at high frequency. Such thermal-throttling complicates the computation of response times of jobs. For multiple processors, a key decision is where to allocate the next job. For distributed thermally-throttled procesosrs, we present COOLIP with a simple allocation policy: a job is allocated to the earliest available processor, and if there are several available simultaneously, to the coolest one. For Poisson distribution of inter-arrival times and Gaussian distribution of execution demand of jobs, COOLIP matches the 95-percentile response time of Earliest Finish-Time (EFT) policy which minimizes response time with full knowledge of execution demand of unfinished jobs and thermal models of processors. We argue that COOLIP performs well because it directs the processors into states such that a defined sufficient condition of optimality holds.
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COOLIP:用于分布式热节流处理器的简单而有效的作业分配
热约束限制了处理器在高频率下运行的时间。这种热节流使作业响应时间的计算变得复杂。对于多处理器,一个关键的决策是在哪里分配下一个作业。对于分布式热节流处理器,我们为COOLIP提供了一个简单的分配策略:将作业分配给最早可用的处理器,如果同时有几个可用的处理器,则分配给最冷的处理器。对于到达时间的泊松分布和作业的执行需求的高斯分布,COOLIP匹配最早完成时间(EFT)策略的95百分位响应时间,该策略在充分了解未完成作业的执行需求和处理器的热模型的情况下最小化响应时间。我们认为COOLIP表现良好,因为它将处理器引导到这样一个定义的最优性的充分条件下。
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