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Job Scheduling Strategies for Parallel Processing [electronic resource] : 12th International Workshop, JSSPP 2006, Saint-Malo, France, June 26, 2006, Revised Selected Papers /

Contributor(s): Material type: TextTextSeries: Theoretical Computer Science and General Issues ; 4376Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2007Edition: 1st ed. 2007Description: VIII, 264 p. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783540710356
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 004.2 23
LOC classification:
  • QA76.9.S88
Online resources:
Contents:
Provably Efficient Two-Level Adaptive Scheduling -- Scheduling Dynamically Spawned Processes in MPI-2 -- Advance Reservation Policies for Workflows -- On Advantages of Scheduling Using Genetic Fuzzy Systems -- Moldable Parallel Job Scheduling Using Job Efficiency: An Iterative Approach -- Adaptive Job Scheduling Via Predictive Job Resource Allocation -- A Data Locality Aware Online Scheduling Approach for I/O-Intensive Jobs with File Sharing -- Volunteer Computing on Clusters -- Load Balancing: Toward the Infinite Network and Beyond -- Symbiotic Space-Sharing on SDSC’s DataStar System -- Modeling Job Arrivals in a Data-Intensive Grid -- On Grid Performance Evaluation Using Synthetic Workloads.
In: Springer Nature eBook
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Provably Efficient Two-Level Adaptive Scheduling -- Scheduling Dynamically Spawned Processes in MPI-2 -- Advance Reservation Policies for Workflows -- On Advantages of Scheduling Using Genetic Fuzzy Systems -- Moldable Parallel Job Scheduling Using Job Efficiency: An Iterative Approach -- Adaptive Job Scheduling Via Predictive Job Resource Allocation -- A Data Locality Aware Online Scheduling Approach for I/O-Intensive Jobs with File Sharing -- Volunteer Computing on Clusters -- Load Balancing: Toward the Infinite Network and Beyond -- Symbiotic Space-Sharing on SDSC’s DataStar System -- Modeling Job Arrivals in a Data-Intensive Grid -- On Grid Performance Evaluation Using Synthetic Workloads.

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