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Job Scheduling Strategies for Parallel Processing

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Job Scheduling Strategies for Parallel Processing
Springer Berlin Heidelberg

Table of Contents

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    Book Overview
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    Chapter 1 Scheduling in HPC Resource Management Systems: Queuing vs. Planning
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    Chapter 2 TrellisDAG: A System for Structured DAG Scheduling
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    Chapter 3 SLURM: Simple Linux Utility for Resource Management
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    Chapter 4 OurGrid: An Approach to Easily Assemble Grids with Equitable Resource Sharing
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    Chapter 5 Scheduling of Parallel Jobs in a Heterogeneous Multi-site Environment
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    Chapter 6 A Measurement-Based Simulation Study of Processor Co-allocation in Multicluster Systems
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    Chapter 7 Grids for Enterprise Applications
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    Chapter 8 Performance Estimation for Scheduling on Shared Networks
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    Chapter 9 Scaling of Workload Traces
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    Chapter 10 Gang Scheduling Extensions for I/O Intensive Workloads
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    Chapter 11 Parallel Job Scheduling under Dynamic Workloads
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    Chapter 12 Backfilling with Lookahead to Optimize the Performance of Parallel Job Scheduling
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    Chapter 13 QoPS: A QoS Based Scheme for Parallel Job Scheduling
Attention for Chapter 4: OurGrid: An Approach to Easily Assemble Grids with Equitable Resource Sharing
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