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Improving and Stabilizing Parallel Computer Performance Using Adaptive Backfilling
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Papers - Volume 01
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A network performance sensitivity metric for parallel applications
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Online algorithms for advance resource reservations
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Making a case for distributed file systems at Exascale
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A dynamic energy conservation scheme for clusters in computing centers
ICESS'05 Proceedings of the Second international conference on Embedded Software and Systems
Workload analysis of a cluster in a grid environment
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Double auction-inspired meta-scheduling of parallel applications on global grids
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The motivation for a stable, efficient, backfill scheduler that runs in a consistent manner on multiple hardware platforms and operating systems is outlined and justified in this work. The combination of the Maui Scheduler and the Portable Batch System (PBS), are evaluated on several cluster solutions of various size, performance and communications profiles. The total job throughput is simulated in this work, with particular attention given to maximizing resource utilization and to the execution of large parallel jobs.