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Shared multi-processor scheduling

Published in arXiv (Cornell University) • Jul 20, 2016
NobleIDNI8P87W74R69S67
Authors:
Dariusz Dereniowski
,
Wieslaw Kubiak

Abstract

We study shared multi-processor scheduling problem where each job can be executed on its private processor and simultaneously on one of many processors shared by all jobs in order to reduce the job's completion time due to processing time overlap. The total weighted overlap of all jobs is to be maxi...

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