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...
Main Authors: | , , , , , , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2007-01-01
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Series: | Scientific Programming |
Online Access: | http://dx.doi.org/10.1155/2007/701609 |