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Job Scheduling Strategies for Parallel Processing [[electronic resource] ] : 16th International Workshop, JSSPP 2012, Shanghai, China, May 25, 2012. Revised Selected Papers / / edited by Walfredo Cirne, Narayan Desai, Eitan Frachtenberg, Uwe Schwiegelshohn



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Titolo: Job Scheduling Strategies for Parallel Processing [[electronic resource] ] : 16th International Workshop, JSSPP 2012, Shanghai, China, May 25, 2012. Revised Selected Papers / / edited by Walfredo Cirne, Narayan Desai, Eitan Frachtenberg, Uwe Schwiegelshohn Visualizza cluster
Pubblicazione: Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Edizione: 1st ed. 2013.
Descrizione fisica: 1 online resource (X, 273 p. 112 illus.)
Disciplina: 005.1
Soggetto topico: Software engineering
Operating systems (Computers)
Computer networks
Algorithms
Computer simulation
Software Engineering
Operating Systems
Computer Communication Networks
Computer Modelling
Persona (resp. second.): CirneWalfredo
DesaiNarayan
FrachtenbergEitan
SchwiegelshohnUwe
Note generali: Bibliographic Level Mode of Issuance: Monograph
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: Parallel batch scheduling -- Workload analysis and modeling -- Resource management system software studies -- Web scheduling.
Sommario/riassunto: This book constitutes the thoroughly refereed proceedings of the 16th International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2012, which was held in Shanghai, China, in May 2012. The 14 revised papers presented were carefully reviewed and selected from 24 submissions. The papers cover the following topics: parallel batch scheduling; workload analysis and modeling; resource management system software studies; and Web scheduling.
Titolo autorizzato: Job Scheduling Strategies for Parallel Processing  Visualizza cluster
ISBN: 3-642-35866-7
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 996465996103316
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Serie: Theoretical Computer Science and General Issues, . 2512-2029 ; ; 7698