Measuring TeraGrid: workload characterization for a high-performance computing federation
Measuring TeraGrid: workload characterization for a high-performance computing federation
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测量 TeraGrid：高性能计算联盟的工作负载特征
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发表时间：
2011
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通讯作者：
David L. Hart
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作者：
David L. Hart
TeraGrid 部署了重要的监控和会计基础设施，以了解其运营成功情况。在本文中，我们对 TeraGrid 2008 年报告的工作进行了分析。我们从几个角度考虑工作负载：传统高性能计算 (HPC) 工作负载特征；面向网格的工作负载特征；最后是面向用户和群体的特征。我们使用先前 HPC 和网格系统研究中报告的指标来了解这些指标是否为管理和研究资源联合提供有用的信息。这项研究强调了区分工作模式分析和工作模式分析的重要性；在工作和工作模式方面，一小群用户主导着工作量；即使是松散耦合的联合体的聚合分析，以及各个系统的不完整信息，也反映了在更紧密耦合的网格和单个 HPC 系统中看到的模式。
TeraGrid has deployed a significant monitoring and accounting infrastructure in order to understand its operational success. In this paper, we present an analysis of the jobs reported by TeraGrid for 2008. We consider the workload from several perspectives: traditional high-performance computing (HPC) workload characteristics; grid-oriented workload characteristics; and finally user- and group-oriented characteristics. We use metrics reported in prior studies of HPC and grid systems in order to understand whether such metrics provide useful information for managing and studying resource federations. This study highlights the importance of distinguishing between analyses of job patterns and work patterns; that small sets of users dominate the workload both in terms of job and work patterns; and that aggregate analyses across even loosely coupled federations, with incomplete information for individual systems, reflect patterns seen in more tightly coupled grids and in single HPC systems.