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Published Articles >> Table of Contents >> Abstract
International Parallel and Distributed Processing Symposium (IPDPS'03)
p. 25a
Grid Harvest Service: A System for Long-Term, Application-Level Task Scheduling
Xian-He Sun, Illinois Institute of Technology
Ming Wu, Illinois Institute of Technology
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IPDPS.2003.1213102
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| Abstract |
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With the emergence of grid computing environment, performance measurement, analysis and prediction of non-dedicated distributed systems have become increasingly important. In this study, we put forward a novel performance model for non-dedicated network computing. Based on this model, a performance prediction and task scheduling system called Grid Harvest Service (GHS), has been designed and implemented. GHS consists of a performance measurement component, a prediction component and a scheduling component. Different scheduling algorithms are proposed for different situations. Experimental results show that the GHS system provides satisfactory solution for performance prediction and scheduling of large applications and that GHS has a real potential.
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 Additional Information
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Index Terms- performance prediction and measurement, task scheduling, resources sharing, grid computing, performance modeling
Citation:
Xian-He Sun, Ming Wu,
"Grid Harvest Service: A System for Long-Term, Application-Level Task Scheduling,"
ipdps,
p. 25a,
International Parallel and Distributed Processing Symposium (IPDPS'03),
2003
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