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

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4 Author(s)
Valerio, M.D. ; EASE Lab., Ohio State Univ., OH, USA ; Sahoo, S.S. ; Barga, R.S. ; Jackson, J.J.

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.

Published in:

eScience, 2008. eScience '08. IEEE Fourth International Conference on

Date of Conference:

7-12 Dec. 2008