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Issue No. 01 - January/February (2004 vol. 19)
ISSN: 1541-1672
pp: 26-33
Ewa Deelman , USC Information Sciences Institute
Yolanda Gil , USC Information Sciences Institute
Hongsuda Tangmunarunkit , USC Information Sciences Institute
Carl Kesselman , USC Information Sciences Institute
Jim Blythe , USC Information Sciences Institute
ABSTRACT
<p>Grid computing is emerging as a key enabling infrastructure for science. A key challenge for distributed computation over the Grid is the on-demand synthesis of large-scale, end-to-end scientific applications that draw from pools of specialized scientific components to derive elaborate new results. Many technical issues must be addressed to meet this challenge, including usability, robustness, and scale. The Pegasus system generates executable grid workflows given highly specified desired results. Pegasus uses AI planning techniques to compose valid end-to-end workflows and has been used in several scientific applications.</p>
INDEX TERMS
AI planning, workflow management, scientific workflows, AI applications, grid computing
CITATION
Ewa Deelman, Yolanda Gil, Hongsuda Tangmunarunkit, Carl Kesselman, Jim Blythe, "Artificial Intelligence and Grids: Workflow Planning and Beyond", IEEE Intelligent Systems, vol. 19, no. , pp. 26-33, January/February 2004, doi:10.1109/MIS.2004.1265882
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