White Papers

Artificial Intelligence and Grids: Workflow Planning and Beyond

Overview Grid computing is emerging as key enabling infrastructure for science. A key challenge for distributed computation over the Grid is the synthesis on-demand of end-to-end scientific applications of unprecedented scale that draw from pools of specialized scientific components to derive elaborate new results. The technical issues that need to be addressed in order to meet this challenge, including usability, robustness, and scale are outlined in this paper. This paper describes Pegasus, a system to generate executable grid workflows given a high-level specification of desired results.

Further White Paper Details
PublisherUniversity of Southern California File FormatPDF
Date PublishedJanuary 2004 Downloads10
FormatWhite Papers   
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