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Studies in Computational Intelligence

By: Fatos Xhafa (Editor), Ajith Abraham (Editor)

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Hardcover | 19 August 2008

At a Glance

Hardcover
384 Pages

Dimensions(cm)
23.5 x 15.88 x 2.54

Hardcover

$249.75

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Grid computing has emerged as one of the most promising computing paradigms of the new millennium! Achieving high performance Grid computing requires techniques to efficiently and adaptively allocate jobs and applications to available resources in a large scale, highly heterogenous and dynamic environment.

This volume presents meta-heuristics approaches for Grid scheduling problems. Due to the complex nature of the problem, meta-heuristics are primary techniques for the design and implementation of efficient Grid schedulers. The volume brings new ideas, analysis, implementations and evaluation of meta-heuristic techniques for Grid scheduling, which make this volume novel in several aspects. The 14 chapters of this volume have identified several important formulations of the problem, which we believe will serve as a reference for the researchers in the Grid computing community.

Important features include the detailed overview of the various novel metaheuristic scheduling approaches, excellent coverage of timely, advanced scheduling topics, state-of-the-art theoretical research and application developments and chapters authored by pioneers in the field. Academics, scientists as well as engineers engaged in research, development and scheduling will find the comprehensive coverage of this book invaluable.

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You Can Find This Book In

Non-Fiction Engineering & Technology Electronics & Communications Engineering Electronics Engineering Mathematics Applied Mathematics Computing & I.T.Computer Science Artificial Intelligence Technology in General Engineering in General Computer Networking & Communications

Distributed Systems Maths for Engineers Industrial Chemistry & Manufacturing Technologies Client-Server Networking

Meta-heuristics for Grid Scheduling Problems	p. 1
Optimizing Routing and Backlogs for Job Flows in a Distributed Computing Environment	p. 39
Robust Allocation and Scheduling Heuristics for Dynamic, Distributed Real-Time Systems	p. 61
Supercomputer Scheduling with Combined Evolutionary Techniques	p. 95
Adapting Iterative-Improvement Heuristics for Scheduling File-Sharing Tasks on Heterogeneous Platforms	p. 121
Advanced Job Scheduler Based on Markov Availability Model and Resource Selection in Desktop Grid Computing Environment	p. 153
Workflow Scheduling Algorithms for Grid Computing	p. 173
Decentralized Grid Scheduling Using Genetic Algorithms	p. 215
Nature Inspired Meta-heuristics for Grid Scheduling: Single and Multi-objective Optimization Approaches	p. 247
Efficient Batch Job Scheduling in Grids Using Cellular Memetic Algorithms	p. 273
P2P B&B and GA for the Flow-Shop Scheduling Problem	p. 301
Peer-to-Peer Neighbor Selection Using Single and Multi-objective Population-Based Meta-heuristics	p. 323
An Adaptive Co-ordinate Based Scheduling Mechanism for Grid Resource Management with Resource Availabilities	p. 341
Index	p. 361
Author Index	p. 365
Table of Contents provided by Ingram. All Rights Reserved.

Studies in Computational Intelligence

At a Glance

Hardcover

Shipping

How to return your order

Defective items

You Can Find This Book In

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