Artificial intelligence and grids: workflow planning and beyond
Gil, Y.; Deelman, E.; Blythe, J.; Kesselman, C.; Tangmunarunkit, H.
Intelligent Systems, IEEE
Volume 19, Issue 1, Jan-Feb 2004 Page(s): 26 - 33
Digital Object Identifier   10.1109/MIS.2004.1265882
Summary: A key challenge for grid computing is creating large-scale, end-to-end scientific applications that draw from pools of specialized scientific components to derive elaborate new results. We develop Pegasus, an AI planning system which is integrated into the grid environment that takes a user's highly specified desired results, generates valid workflows that take into account available resources, and submits the workflows for execution on the grid. We also begin to extend it as a more distributed and knowledge-rich architecture.

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