黄金时间与非黄金时间的作业调度

V. Lo, Jens Mache
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引用次数: 24

摘要

当前用于大规模并行机器和beowulf级计算集群的作业调度系统支持涉及两类队列的批调度:黄金时间和非黄金时间。在这些队列类中运行的作业必须满足作业大小、运行时或其他资源需求方面的不同标准。这些限制是为了将大型工作推迟到非黄金时间,以便在工作日的黄金时间提供更优质的服务。本文调查了现有的黄金时间/非黄金时间调度策略,并研究了调度性能对黄金时间和非黄金时间允许的作业大小和运行时限制变化的敏感性。我们的模拟研究使用了来自NASA NAS IBM SP/2集群的真实工作负载跟踪,为使用特定的主要时间限制提供了强有力的证据,并揭示了有关响应时间、利用率、短期调度算法(FCFS vs. EASY回填)以及成功率和溢出率的性能权衡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Job scheduling for prime time vs. non-prime time
Current job scheduling systems for massively parallel machines and Beowulf-class compute clusters support batch scheduling involving two classes of queues: prime time vs. non-prime time. Jobs running in these queue classes must satisfy different criteria with respect to job-size, runtime, or other resource needs. These constraints are designed to delay big jobs to non-prime time in order to provide better quality service during the prime time workday hours. This paper surveys existing prime time/non-prime time scheduling policies and investigates the sensitivity of scheduling performance to changes in the jobsize and runtime limits allowed during prime time vs. non-prime time. Our simulation study, using real workload traces from the NASA NAS IBM SP/2 cluster gives strong evidence for the use of specific prime time limits and sheds light oil the performance trade-offs regarding response times, utilization, short term scheduling algorithm (FCFS vs. EASY backfilling), and success and overflow rates.
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