Enhancing the performance of scientific workflow execution in e-science environments by harnessing the standards based parameter sweep model

M. S. Memon, M. Riedel, Sonja Holl, B. Schuller, A. Grimshaw
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引用次数: 5

Abstract

Certain scientific use cases possess complex requirements to have Grid jobs executed in collections where the jobs' request contains only some variation in different parts. These scenarios can easily be tackled by a single job request which abstract this variation and can represent the same collection. The Open Grid Forum (OGF) standards community modeled this requirement through the Job Submission and Description Language (JSDL) Parameter Sweep specification, which takes a modular approach to handle different variations of parameter sweeps (e.g. document and file sweep). In this paper we present the UNICORE server environment implementing this specification build upon its existing JSDL implementation. We also demonstrate the application of UNICORE's parameter sweep extension for optimizing job executions, which are submitted as a sub-activity of a Taverna based scientific workflow. Further we validate our approach by analyzing performance of the workflow with and without using the parameter sweep extension.
通过利用基于标准的参数扫描模型,提高电子科学环境中科学工作流执行的性能
某些科学用例具有复杂的需求,需要在集合中执行网格作业,其中作业的请求只包含不同部分的一些变化。这些场景可以通过单个作业请求轻松解决,该作业请求抽象了这种变体并可以表示相同的集合。开放网格论坛(OGF)标准社区通过作业提交和描述语言(JSDL)参数扫描规范对这一需求进行建模,该规范采用模块化的方法来处理参数扫描的不同变体(例如文档和文件扫描)。在本文中,我们介绍了在现有的jdbc实现基础上实现该规范的UNICORE服务器环境。我们还演示了UNICORE的参数扫描扩展用于优化作业执行的应用,这些作业执行是作为基于Taverna的科学工作流的子活动提交的。进一步,我们通过分析使用和不使用参数扫描扩展的工作流的性能来验证我们的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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