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Issue No. 01 - January/February (2004 vol. 19)
ISSN: 1541-1672
pp: 26-33
Yolanda Gil , USC Information Sciences Institute
Ewa Deelman , USC Information Sciences Institute
Jim Blythe , USC Information Sciences Institute
Carl Kesselman , USC Information Sciences Institute
Hongsuda Tangmunarunkit , USC Information Sciences Institute
<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>
AI planning, workflow management, scientific workflows, AI applications, grid computing

E. Deelman, Y. Gil, H. Tangmunarunkit, C. Kesselman and J. Blythe, "Artificial Intelligence and Grids: Workflow Planning and Beyond," in IEEE Intelligent Systems, vol. 19, no. , pp. 26-33, 2004.
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