An integrated framework for performance-based optimization of scientific workflows

doi:10.1145/1551609.1551638

An integrated framework for performance-based optimization of scientific workflows

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Authors:	Vijay S. Kumar	Ohio State University, Columbus, OH, USA
	P. Sadayappan	Ohio State University, Columbus, OH, USA
	Gaurang Mehta	University of Southern California, Marina del Rey, CA, USA
	Karan Vahi	University of Southern California, Marina del Rey, CA, USA
	Ewa Deelman	University of Southern California, Marina del Rey, CA, USA
	Varun Ratnakar	University of Southern California, Marina del Rey, CA, USA
	Jihie Kim	University of Southern California, Marina del Rey, CA, USA
	Yolanda Gil	University of Southern California, Marina del Rey, CA, USA
	Mary Hall	University of Utah, Salt Lake City, UT, USA
	Tahsin Kurc	Emory University, Atlanta, GA, USA
	Joel Saltz	Emory University, Atlanta, GA, USA

	2009 Article
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	· Proceeding
	HPDC '09 Proceedings of the 18th ACM international symposium on High performance distributed computing
	Pages 177-186 ACM New York, NY, USA ©2009 table of contents ISBN: 978-1-60558-587-1 doi>10.1145/1551609.1551638

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Tags: application qos design distributed systems grid performance performance evaluation performance parameters scientific workflow semantic representations workflow management

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