Job Scheduling Strategies for Parallel Processing [electronic resource] : 22nd International Workshop, JSSPP 2018, Vancouver, BC, Canada, May 25, 2018, Revised Selected Papers / edited by Dalibor Klusáček, Walfredo Cirne, Narayan Desai.
Contributor(s): Klusáček, Dalibor [editor.]
| Cirne, Walfredo [editor.] | Desai, Narayan [editor.] | SpringerLink (Online service).
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BookSeries: Theoretical Computer Science and General Issues: 11332Publisher: Cham : Springer International Publishing : Imprint: Springer, 2019Edition: 1st ed. 2019.Description: IX, 147 p. 80 illus., 35 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030106324.Subject(s): Software engineering | Computers, Special purpose | Computer systems | Computer networks | Software Engineering | Special Purpose and Application-Based Systems | Computer System Implementation | Computer Communication NetworksAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 005.1 Online resources: Click here to access online
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Springer Nature eBookSummary: This book constitutes the thoroughly refereed post-conference proceedings of the 22nd International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2018, held in Vancouver, Canada, in May 2018. The 7 revised full papers presented were carefully reviewed and selected from12 submissions. The papers cover topics in the fields of design and evaluation of new scheduling approaches. They focus on several interesting problems in resource management and scheduling.
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This book constitutes the thoroughly refereed post-conference proceedings of the 22nd International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2018, held in Vancouver, Canada, in May 2018. The 7 revised full papers presented were carefully reviewed and selected from12 submissions. The papers cover topics in the fields of design and evaluation of new scheduling approaches. They focus on several interesting problems in resource management and scheduling.
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