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Job Scheduling Strategies for Parallel Processing [electronic resource] : 15th International Workshop, JSSPP 2010, Atlanta, GA, USA, April 23, 2010, Revised Selected Papers / edited by Eitan Frachtenberg, Uwe Schwiegelshohn.

Medverkande: Materialtyp: TextSerie: Utgivningsuppgift: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2010Utgåva: 1st ed. 2010Beskrivning: XI, 223 p. 99 illus. online resourceInnehållstyp:
  • text
Medietyp:
  • computer
Bärartyp:
  • online resource
ISBN:
  • 9783642165054
Ämnen: DDK-klassifikation:
  • 005.1 23
Onlineresurser:
Innehåll:
Resource Provisioning in SLA-Based Cluster Computing -- An Advance Reservation-Based Co-allocation Algorithm for Distributed Computers and Network Bandwidth on QoS-Guaranteed Grids -- A Greedy Double Auction Mechanism for Grid Resource Allocation -- Risk Aware Overbooking for Commercial Grids -- The Gain of Resource Delegation in Distributed Computing Environments -- A Moldable Online Scheduling Algorithm and Its Application to Parallel Short Sequence Mapping -- Dynamic Proportional Share Scheduling in Hadoop -- The Importance of Complete Data Sets for Job Scheduling Simulations -- Hierarchical Scheduling of DAG Structured Computations on Manycore Processors with Dynamic Thread Grouping -- Multiplexing Low and High QoS Workloads in Virtual Environments -- Proposal and Evaluation of APIs for Utilizing Inter-Core Time Aggregation Scheduler -- Using Inaccurate Estimates Accurately.
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Resource Provisioning in SLA-Based Cluster Computing -- An Advance Reservation-Based Co-allocation Algorithm for Distributed Computers and Network Bandwidth on QoS-Guaranteed Grids -- A Greedy Double Auction Mechanism for Grid Resource Allocation -- Risk Aware Overbooking for Commercial Grids -- The Gain of Resource Delegation in Distributed Computing Environments -- A Moldable Online Scheduling Algorithm and Its Application to Parallel Short Sequence Mapping -- Dynamic Proportional Share Scheduling in Hadoop -- The Importance of Complete Data Sets for Job Scheduling Simulations -- Hierarchical Scheduling of DAG Structured Computations on Manycore Processors with Dynamic Thread Grouping -- Multiplexing Low and High QoS Workloads in Virtual Environments -- Proposal and Evaluation of APIs for Utilizing Inter-Core Time Aggregation Scheduler -- Using Inaccurate Estimates Accurately.

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