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dc.citation.endPage 1552 -
dc.citation.number 11 -
dc.citation.startPage 1540 -
dc.citation.title IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS -
dc.citation.volume 19 -
dc.contributor.author Seo, Euiseong -
dc.contributor.author Jeong, Jinkyu -
dc.contributor.author Park, Seonyeong -
dc.contributor.author Lee, Joonwon -
dc.date.accessioned 2023-12-22T08:16:07Z -
dc.date.available 2023-12-22T08:16:07Z -
dc.date.created 2014-12-24 -
dc.date.issued 2008-11 -
dc.description.abstract Multicore processors deliver a higher throughput at lower power consumption than unicore processors. In the near future, they will thus be widely used in mobile real-time systems. There have been many research on energy-efficient scheduling of real-time tasks using DVS. These approaches must be modified for multicore processors, however, since normally all the cores in a chip must run at the same performance level. Thus, blindly adopting existing DVS algorithms that do not consider the restriction will result in a waste of energy. This article suggests Dynamic Repartitioning algorithm based on existing partitioning approaches of multiprocessor systems. The algorithm dynamically balances the task loads of multiple cores to optimize power consumption during execution. We also suggest Dynamic Core Scaling algorithm, which adjusts the number of active cores to reduce leakage power consumption under low load conditions. Simulation results show that Dynamic Repartitioning can produce energy savings of about 8 percent even with the best energy-efficient partitioning algorithm. The results also show that Dynamic Core Scaling can reduce energy consumption by about 26 percent under low load conditions. -
dc.identifier.bibliographicCitation IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, v.19, no.11, pp.1540 - 1552 -
dc.identifier.doi 10.1109/TPDS.2008.104 -
dc.identifier.issn 1045-9219 -
dc.identifier.scopusid 2-s2.0-54249135398 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/9659 -
dc.identifier.url http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=54249135398 -
dc.identifier.wosid 000259457200009 -
dc.language 영어 -
dc.publisher IEEE COMPUTER SOC -
dc.title Energy efficient scheduling of real-time tasks on multicore processors -
dc.type Article -
dc.description.journalRegisteredClass scopus -
dc.subject.keywordAuthor real-time systems -
dc.subject.keywordAuthor real-time scheduling -
dc.subject.keywordAuthor low-power design -
dc.subject.keywordAuthor power-aware
systems
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dc.subject.keywordAuthor multicore processors -
dc.subject.keywordAuthor multiprocessor systems -

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