Capturing Workflow Event Data for Monitoring, Performance Analysis, and Management of Scientific Workflows
Capturing Workflow Event Data for Monitoring, Performance Analysis, and Management of Scientific Workflows
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捕获工作流事件数据以进行科学工作流的监控、性能分析和管理
DOI：
10.1109/escience.2008.164
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发表时间：
2008
期刊：
影响因子：
--
通讯作者：
Jared Jackson
中科院分区：
文献类型：
--
作者：
Matthew D. Valerio;S. Sahoo;R. Barga;Jared Jackson
为了有效地支持对科学工作流执行的实时监控和性能分析，必须捕获不同级别的事件数据并将其提供给感兴趣的各方。本文讨论了在三叉戟系统中使用分布式发布/订阅事件模型来创建一个本体感知的工作流监控系统。讨论了发布/订阅系统的实现，并给出了性能测试结果。
To effectively support real-time monitoring and performance analysis of scientific workflow execution, varying levels of event data must be captured and made available to interested parties. This paper discusses the creation of an ontology-aware workflow monitoring system for use in the Trident system which utilizes a distributed publish/subscribe event model. The implementation of the publish/subscribe system is discussed and performance results are presented.