Power-aware scheduling for makespan and flow

dc.creatorBunde, David P.
dc.date2006-05-26
dc.date.accessioned2026-07-07T07:09:35Z
dc.date.available2026-07-07T07:09:35Z
dc.descriptionWe consider offline scheduling algorithms that incorporate speed scaling to address the bicriteria problem of minimizing energy consumption and a scheduling metric. For makespan, we give linear-time algorithms to compute all non-dominated solutions for the general uniprocessor problem and for the multiprocessor problem when every job requires the same amount of work. We also show that the multiprocessor problem becomes NP-hard when jobs can require different amounts of work. For total flow, we show that the optimal flow corresponding to a particular energy budget cannot be exactly computed on a machine supporting arithmetic and the extraction of roots. This hardness result holds even when scheduling equal-work jobs on a uniprocessor. We do, however, extend previous work by Pruhs et al. to give an arbitrarily-good approximation for scheduling equal-work jobs on a multiprocessor.
dc.description13 pages, 3 figures. To appear in 18th ACM Symposium on Parallelism in Algorithms and Architectures (SPAA), 2006
dc.identifierhttps://arxiv.org/abs/cs/0605126
dc.identifierhttp://arxiv.org/abs/cs/0605126
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/111120
dc.subjectData Structures and Algorithms
dc.titlePower-aware scheduling for makespan and flow
dc.typetext

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