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Metaheuristics for Scheduling in Distributed Computing Environments

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Cover of 'Metaheuristics for Scheduling in Distributed Computing Environments'

Table of Contents

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    Book Overview
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    Chapter 1 Meta-heuristics for Grid Scheduling Problems
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    Chapter 2 Optimizing Routing and Backlogs for Job Flows in a Distributed Computing Environment
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    Chapter 3 Robust Allocation and Scheduling Heuristics for Dynamic, Distributed Real-Time Systems
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    Chapter 4 Supercomputer Scheduling with Combined Evolutionary Techniques
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    Chapter 5 Adapting Iterative-Improvement Heuristics for Scheduling File-Sharing Tasks on Heterogeneous Platforms
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    Chapter 6 Advanced Job Scheduler Based on Markov Availability Model and Resource Selection in Desktop Grid Computing Environment
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    Chapter 7 Workflow Scheduling Algorithms for Grid Computing
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    Chapter 8 Decentralized Grid Scheduling Using Genetic Algorithms
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    Chapter 9 Metaheuristics for Scheduling in Distributed Computing Environments
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    Chapter 10 Efficient Batch Job Scheduling in Grids Using Cellular Memetic Algorithms
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    Chapter 11 P2P B&B and GA for the Flow-Shop Scheduling Problem
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    Chapter 12 Peer-to-Peer Neighbor Selection Using Single and Multi-objective Population-Based Meta-heuristics
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    Chapter 13 An Adaptive Co-ordinate Based Scheduling Mechanism for Grid Resource Management with Resource Availabilities
Attention for Chapter 5: Adapting Iterative-Improvement Heuristics for Scheduling File-Sharing Tasks on Heterogeneous Platforms
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Citations

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Chapter title
Adapting Iterative-Improvement Heuristics for Scheduling File-Sharing Tasks on Heterogeneous Platforms
Chapter number 5
Book title
Metaheuristics for Scheduling in Distributed Computing Environments
Published by
Springer, Berlin, Heidelberg, January 2008
DOI 10.1007/978-3-540-69277-5_5
Book ISBNs
978-3-54-069260-7, 978-3-54-069277-5
Authors

Kamer Kaya, Bora Uçar, Cevdet Aykanat, Kaya, Kamer, Uçar, Bora, Aykanat, Cevdet

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 25%
Professor > Associate Professor 1 25%
Student > Master 1 25%
Unknown 1 25%
Readers by discipline Count As %
Computer Science 2 50%
Unknown 2 50%

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