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Job Scheduling Strategies for Parallel Processing

Overview of attention for book
Cover of 'Job Scheduling Strategies for Parallel Processing'

Table of Contents

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    Book Overview
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    Chapter 1 Dynamic Resource-Critical Workflow Scheduling in Heterogeneous Environments
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    Chapter 2 Decentralized Grid Scheduling with Evolutionary Fuzzy Systems
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    Chapter 3 Analyzing the EGEE Production Grid Workload: Application to Jobs Submission Optimization
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    Chapter 4 The Resource Usage Aware Backfilling
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    Chapter 5 The Gain of Overbooking
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    Chapter 6 Modeling Parallel System Workloads with Temporal Locality
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    Chapter 7 Scheduling Restartable Jobs with Short Test Runs
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    Chapter 8 Effects of Topology-Aware Allocation Policies on Scheduling Performance
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    Chapter 9 Contention-Aware Scheduling with Task Duplication
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    Chapter 10 Job Admission and Resource Allocation in Distributed Streaming Systems
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    Chapter 11 Scalability Analysis of Job Scheduling Using Virtual Nodes
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    Chapter 12 Competitive Two-Level Adaptive Scheduling Using Resource Augmentation
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    Chapter 13 Job Scheduling with Lookahead Group Matchmaking for Time/Space Sharing on Multi-core Parallel Machines
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    Chapter 14 Adaptive Scheduling for QoS Virtual Machines under Different Resource Allocation – Performance Effects and Predictability
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    Chapter 15 Limits of Work-Stealing Scheduling
Attention for Chapter 6: Modeling Parallel System Workloads with Temporal Locality
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Chapter title
Modeling Parallel System Workloads with Temporal Locality
Chapter number 6
Book title
Job Scheduling Strategies for Parallel Processing
Published in
ADS, May 2009
DOI 10.1007/978-3-642-04633-9_6
Book ISBNs
978-3-64-204632-2, 978-3-64-204633-9
Authors

Tran Ngoc Minh, Lex Wolters

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 67%
Other 2 33%
Readers by discipline Count As %
Computer Science 4 67%
Business, Management and Accounting 1 17%
Engineering 1 17%

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