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Job Scheduling Strategies for Parallel Processing - 15th International Workshop, JSSPP 2010, Atlanta, GA, USA, April 23, 2010, Revised Selected Papers (Paperback, Edition.)
Loot Price: R1,502
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Job Scheduling Strategies for Parallel Processing - 15th International Workshop, JSSPP 2010, Atlanta, GA, USA, April 23, 2010, Revised Selected Papers (Paperback, Edition.)
Series: Lecture Notes in Computer Science, 6253
Expected to ship within 10 - 15 working days
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th Thisvolumecontainsthepaperspresentedatthe15 workshoponJobSched-
ing Strategies for Parallel Processing that was held in Atlanta
(GA), USA, on April 23, 2010 in conjunction with the IEEE
International Parallel Processing Symposium 2010. This year 18
papers were submitted to the workshop. All submitted papers went
through a complete review process, with the full version being read
and evaluated by an average of four reviewers. We would like to
especially thank the program committee members and additional
referees for their willingness to participate in this e?ort and
their excellent, detailed reviews: Henri Casanova, Peter A. Chronz,
Walfredo Cirne, Julita Corbalan, Arash
Deshmeh,DickEpema,DrorG.Feitelson,AllanGottlieb,RajkumarKettimuthu,
Virginia Lo, Kuan Lu, Vicent Matossian, Jose E. Moreira, Bill
Nitzberg, Elizeu Santos-Neto,Angela C.Sodan,MarkS.
Squillante,DanTsafrir,Philipp Wieder, and Ramin Yahyapour. The
papers in this volume show a proli?c growth in the areas of
applicability
forparallelscheduling.Togetherwiththemorecommonschedulingaspects(such
asclusterandGridscheduling,workloadanalysis,metrics,qualityofservice,and
task scheduling), these papers increasingly discuss more recent
problems and applications, such as virtualized environments,
many-core processors, DNA - quencing, and Hadoop. This volume also
includes a paper that summarizes Dan
Tsafrir'sworkonunderstandingthe roleofuser estimates injob
schedulingev- uations. His insights, which were presented in this
workshop'skeynote, are quite instructive and lead to the conclusion
that accurate user estimates are indeed better
fore?cientscheduling.Althoughthis conclusionmaysoundintuitive,itis
actuallycontradictoryto previousstudies thatfound
inaccurateestimates to - prove scheduler performance. Following his
analysis, Dan also suggests practical ways to deal with estimate
inaccuracy for realistic job scheduler evaluations.
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