The PerSyst Monitoring Tool - A Transport System for Performance Data Using Quantiles
The PerSyst Monitoring Tool - A Transport System for Performance Data Using Quantiles
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PerSyst 监控工具 - 使用分位数的性能数据传输系统
DOI：
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
Matthias Brehm
中科院分区：
文献类型：
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作者：
Carla Guillén;Wolfram Hesse;Matthias Brehm
本文提出了一种用于高性能计算机的系统范围的监视和分析工具，具有多种功能，旨在最大限度地减少代理网络上的性能数据传输。该工具的目的是对 HPC 系统中运行的用户应用程序的性能瓶颈进行初步检测，同时对生产运行的影响可以忽略不计。如果需要永久存储数据以供查询，则持续的系统范围监控可能会产生大量数据。对于系统监控层面，我们需要同步存储监控数据。我们通过使用分位数保留描述性质量；关于应用程序在每个测量间隔使用的核心数量的聚合。性能数据传输路线的优化使我们能够精确计算分位数，而不是分位数估计。
This paper presents a systemwide monitoring and analysis tool for high performance computers with several features aimed at minimizing the transport of performance data along a network of agents. The aim of the tool is to do a preliminary detection of performance bottlenecks on user applications running in HPC systems with a negligible impact on production runs. Continuous systemwide monitoring can lead to large volumes of data, if the data is required to be stored permanently to be available for queries. For system monitoring level we require to store the monitoring data synchronously. We retain the descriptive qualities by using quantiles; an aggregation with respect to the number of cores used by the application at every measuring interval. The optimization of the transport route for the performance data enables us to precisely calculate quantiles as opposed to quantile estimation.