@article{keyhere,
	title = {Pegasus: Mapping Scientific Workflows onto the Grid},
	author = {Ewa Deelman and James Blythe and Yolanda Gil and Carl Kesselman and Gaurang Mehta and Sonal Patil and Mei-Hui Su and Karan Vahi and Miron Livny},
	journal = {Grid Computing},
	pages = {11--20},
	url = {http://www.springerlink.com/content/95rj5e2fgqqpkaha},
	year = {2004},
	biburl = {http://www.bibsonomy.org/bibtex/29c38a7c6de2c0c9d9a40ed2fbf5b5b4a/ustun},
	description = {SpringerLink - Book Chapter},
	abstract = {In this paper we describe the Pegasus system that can map complex workflows onto the Grid. Pegasus takes an abstract description of a workflow and finds the appropriate data and Grid resources to execute the workflow. Pegasus is being released as part of the GriPhyN Virtual Data Toolkit and has been used in a variety of applications ranging from astronomy, biology, gravitational-wave science, and high-energy physics. A deferred planning mode of Pegasus is also introduced.
ER  -},
	keywords = {imported }
}