Optimizing Workflow Data Footprint

Optimizing Workflow Data Footprint

In this paper we examine the issue of optimizing disk usage and scheduling large-scale scientific workflows onto distributed resources where the workflows are data-intensive, requiring large amounts of data storage, and the resources have limited storage resources. Our approach is two-fold: we minim...

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Bibliographic Details
Main Authors: Gurmeet Singh, Karan Vahi, Arun Ramakrishnan, Gaurang Mehta, Ewa Deelman, Henan Zhao, Rizos Sakellariou, Kent Blackburn, Duncan Brown, Stephen Fairhurst, David Meyers, G. Bruce Berriman, John Good, Daniel S. Katz
Format: Article
Language:English
Published: Hindawi Limited 2007-01-01
Series:Scientific Programming
Online Access:http://dx.doi.org/10.1155/2007/701609

Internet

http://dx.doi.org/10.1155/2007/701609

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