Online performance monitoring and analysis of grid scientific workflows

  • Authors:
  • Hong-Linh Truong;Thomas Fahringer

  • Affiliations:
  • Institute for Software Science, University of Vienna;Institute for Computer Science, University of Innsbruck

  • Venue:
  • EGC'05 Proceedings of the 2005 European conference on Advances in Grid Computing
  • Year:
  • 2005

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Abstract

While existing work concentrates on developing QoS models of business workflows and Web services, few tools have been developed to support the monitoring and performance analysis of scientific workflows in Grids. This paper describes a Grid service for performance monitoring and analysis of Grid scientific workflows. The service utilizes workflow graphs and various types of performance data including monitoring data of resources, execution status of activities, and performance measurement obtained from the dynamic instrumentation, to provide a rich set of monitoring and performance analysis features. We store workflows and their relevant information, devise techniques to compare constructs of different workflows, and support multi-workflow analysis.