Document Type
Article
Publication Date
12-10-2008
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.
Repository Citation
Valerio, M.,
Sahoo, S. S.,
Barga, R.,
& Jackson, J.
(2008). Capturing Workflow Event Data for Monitoring, Performance Analysis, and Management of Scientific Workflows. .
https://corescholar.libraries.wright.edu/knoesis/326
Included in
Bioinformatics Commons, Communication Technology and New Media Commons, Databases and Information Systems Commons, OS and Networks Commons, Science and Technology Studies Commons
Comments
Paper presented at the Scientific Workflows and Business Workflow Standards in e-Science (SWBES08) in conjunction with IEEE International e-Science Conference, Indianapolis, IN, December 10, 2008.