Capturing Workflow Event Data for Monitoring, Performance Analysis, and Management of Scientific Workflows

TitleCapturing Workflow Event Data for Monitoring, Performance Analysis, and Management of Scientific Workflows
Publication TypeConference Paper
Year of Publication2008
AuthorsSatya S. Sahoo, Roger Barga, Jared Jackson, Matthew Valerio
PublisherScientific Workflows and Business Workflow Standards in e-Science (SWBES08) in conjunction with IEEE International e-Science Conference 2008
KeywordsScientific workflow and ontology-aware notification system and event data capture and Trident scientific workbench
Abstract

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.

Full Text

Matthew D. Valerio, Satya S. Sahoo, Roger S. Barga, Jared J. Jackson, 'Capturing Workflow Event Data for Monitoring, Performance Analysis, and Management of Scientific Workflows', SWBES08 Workshop in conjunction with IEEE International Conference on e-Science 2008, Indianapolis, Indiana, Dec 10, 2008.
year: 2008
venue url: http://escience2008.iu.edu/workshops/challenging/index.shtml
related resource url: http://escience2008.iu.edu/workshops/challenging/eventdata.shtml
venue name: Scientific Workflows and Business Workflow Standards in e-Science (SWBES08) in conjunction with IEEE International e-Science Conference 2008
hasURL: http://knoesis.wright.edu/library/publications/ontology-awareWorkflowMon...