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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 Resampling with Feedback: A New Paradigm of Using Workload Data for Performance Evaluation
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    Chapter 2 Collection of Job Scheduling Prediction Methods
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    Chapter 3 Modular Workload Format: Extending SWF for Modular Systems
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    Chapter 4 Measurement and Modeling of Performance of HPC Applications Towards Overcommitting Scheduling Systems
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    Chapter 5 Scheduling Microservice Containers on Large Core Machines Through Placement and Coalescing
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    Chapter 6 Learning-Based Approaches to Estimate Job Wait Time in HTC Datacenters
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    Chapter 7 A HPC Co-scheduler with Reinforcement Learning
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    Chapter 8 Performance-Cost Optimization of Moldable Scientific Workflows
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    Chapter 9 Temperature-Aware Energy-Optimal Scheduling of Moldable Streaming Tasks onto 2D-Mesh-Based Many-Core CPUs with DVFS
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    Chapter 10 Scheduling Challenges for Variable Capacity Resources
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    Chapter 11 GLUME : A Strategy for Reducing Workflow Execution Times on Batch-Scheduled Platforms
Attention for Chapter 8: Performance-Cost Optimization of Moldable Scientific Workflows
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Chapter title
Performance-Cost Optimization of Moldable Scientific Workflows
Chapter number 8
Book title
Job Scheduling Strategies for Parallel Processing
Published by
Springer, Cham, October 2021
DOI 10.1007/978-3-030-88224-2_8
Book ISBNs
978-3-03-088223-5, 978-3-03-088224-2
Authors

Marta Jaros, Jiri Jaros, Jaros, Marta, Jaros, Jiri

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 50%
Student > Master 1 50%
Readers by discipline Count As %
Engineering 1 50%
Unknown 1 50%

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