Title :
Capturing Workflow Event Data for Monitoring, Performance Analysis, and Management of Scientific Workflows
Author :
Valerio, Matthew D. ; Sahoo, Satya S. ; Barga, Roger S. ; Jackson, Jared J.
Author_Institution :
EASE Lab., Ohio State Univ., OH, USA
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.
Keywords :
middleware; ontologies (artificial intelligence); real-time systems; scientific information systems; system monitoring; workflow management software; Trident system; data monitoring; distributed publish/subscribe event model; ontology-aware workflow monitoring system; real-time monitoring; scientific workflow management; workflow event data; Condition monitoring; Conference management; Costs; Histograms; History; Logic; Ontologies; Performance analysis; Resource management; Runtime; Trident; publish/subscribe; workflow;
Conference_Titel :
eScience, 2008. eScience '08. IEEE Fourth International Conference on
Conference_Location :
Indianapolis, IN
Print_ISBN :
978-1-4244-3380-3
Electronic_ISBN :
978-0-7695-3535-7
DOI :
10.1109/eScience.2008.164
