This paper presents a case study of modeling, evaluating, and testing the data collection services (called an instrumentation system) of the Paradyn parallel performance measurement tool using well-known performance evaluation and experiment design techniques. The overall objective of the study is to use modeling- and simulation-based evaluation to provide feedback to the tool developers to help them choose system configurations and task scheduling policies that can significantly reduce the data collection overheads. We develop and parameterize a resource occupancy (ROCC) model for Paradyn instrumentation system (IS) for an IBM SP-2 platform. This model is parameterized with a measurement-based workload characterization and subsequently used to answer several "what if" questions regarding configuration options and two policies to schedule instrumentation system tasks: collect-and-forward (CF) and batch-and-forward (BF) policies. Simulation results indicate that the BF policy can significantly reduce the overheads. Based on this feedback, the BF policy was implemented in Paradyn IS as an option to manage the data collection. Measurement-based testing results obtained from this enhanced version of Paradyn IS are reported in this paper and indicate more than 60% reduction in the direct IS overheads when the BF policy is used.
本文介绍了使用著名的性能评估和实验设计技术对Paradyn并行性能测量工具的数据收集服务(称为仪器系统)进行建模,评估和测试的案例研究。该研究的总体目标是使用基于建模和仿真的评估为工具开发人员提供反馈,以帮助他们选择可以显着减少数据收集开销的系统配置和任务调度策略。我们为IBM SP-2平台的Paradyn仪表系统(IS)开发并参数化资源占用(ROCC)模型。该模型通过基于测量的工作负载特征进行参数化,随后用于回答有关配置选项和计划仪表系统任务的两个策略的多个“假设”问题:收集转发(CF)和批处理转发(BF) )政策。仿真结果表明,BF策略可以显着减少开销。基于此反馈,在Paradyn IS中实施了BF策略,作为管理数据收集的选项。本文报告了从Paradyn IS的增强版本获得的基于测量的测试结果,这些结果表明使用BF策略时,直接IS开销减少了60%以上。 P>
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