Artificial intelligence and grids: workflow planning and beyond
Gil, Y.
Deelman, E.
Blythe, J.
Kesselman, C.
Tangmunarunkit, H.
Inf. Sci. Inst., Univ. of Southern California, Marina del Rey, CA, USA;
This paper appears in: Intelligent Systems, IEEE
Publication Date: Jan-Feb 2004
Volume: 19,
Issue: 1
On page(s): 26- 33
ISSN: 1541-1672
INSPEC Accession Number: 7997083
Digital Object Identifier: 10.1109/MIS.2004.1265882
Current Version Published: 2005-04-04
Abstract
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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