Consecutive Job Submission Behavior at Mira Supercomputer
Consecutive Job Submission Behavior at Mira Supercomputer
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DOI：
10.1145/2907294.2907314
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发表时间：
2016-05
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影响因子：
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通讯作者：
Stephan Schlagkamp;Rafael Ferreira da Silva;W. Allcock;E. Deelman;U. Schwiegelshohn
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作者：
Stephan Schlagkamp;Rafael Ferreira da Silva;W. Allcock;E. Deelman;U. Schwiegelshohn
了解用户行为对于评估HPC环境中的调度和分配性能至关重要。本文旨在通过在随后的作业提交行为中以延迟的形式对用户行为进行全面分析，以进一步了解对系统性能的动态反应。因此，我们表征了一个工作负载跟踪，涵盖了ALCF的MIRA超级计算机（Argonne Leadership Computing设施）的一年工作提交。我们对工作特征，系统性能指标和随后的用户行为之间的相关性进行深入分析。分析结果表明，用户行为受到漫长的等待时间的显着影响，并且复杂的工作（节点和CPU小时数）导致随后的工作提交的延迟。
Understanding user behavior is crucial for the evaluation of scheduling and allocation performances in HPC environments. This paper aims to further understand the dynamic user reaction to different levels of system performance by performing a comprehensive analysis of user behavior in recorded data in the form of delays in the subsequent job submission behavior. Therefore, we characterize a workload trace covering one year of job submissions from the Mira supercomputer at ALCF (Argonne Leadership Computing Facility). We perform an in-depth analysis of correlations between job characteristics, system performance metrics, and the subsequent user behavior. Analysis results show that the user behavior is significantly influenced by long waiting times, and that complex jobs (number of nodes and CPU hours) lead to longer delays in subsequent job submissions.