Job Scheduling Strategies for Parallel Processing
(Sprache: Englisch)
Following his analysis, Dan also suggests practical ways to deal with estimate inaccuracy for realistic job scheduler evaluations.
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Following his analysis, Dan also suggests practical ways to deal with estimate inaccuracy for realistic job scheduler evaluations.
Inhaltsverzeichnis zu „Job Scheduling Strategies for Parallel Processing “
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.
Bibliographische Angaben
- VII, 221 Seiten, Masse: 15,9 x 23,9 cm, Kartoniert (TB), Englisch
- Herausgegeben: Eitan Frachtenberg, Uwe Schwiegelshohn
- Verlag: Springer Berlin
- ISBN-10: 3642165044
- ISBN-13: 9783642165047
- Erscheinungsdatum: 21.10.2010
Sprache:
Englisch
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