Scheduling in Distributed Computing Systems

Analysis, Design and Models

By: Deo Prakash Vidyarthi, Biplab Kumer Sarker, Anil Kumar Tripathi

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Hardcover | 28 November 2008

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312 Pages

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24.13 x 16.51 x 2.54

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Scheduling in Distributed Computing Systems: Analysis, Design and Models intends to inculcate the innovative ideas for the scheduling aspect. Although the models in this book are designed for distributed systems, the same information is applicable for any type of system (i.e., where distributed processing is required). Scheduling in Distributed Computing Systems: Analysis, Design and Models will dramatically improve the design and management of the processes for industry professionals. This book deals exclusively with the scheduling aspect, which finds little space in other distributed operating system books. Scheduling in Distributed Computing Systems: Analysis, Design and Models is structured for a professional audience composed of researchers and practitioners in industry. This book is also suitable as a reference for graduate-level students in management sciences, and computer science for distributed computing system classes.

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Preface	p. vii
Introduction	p. 1
Performance Improvement in Computing System	p. 2
High Speed Computing and DCS	p. 4
Evolution of the DCS	p. 6
Issues in DCS Research	p. 9
Organization of the Book	p. 12
Bibliography	p. 15
An Overview of a Distributed System	p. 17
DCS Architecture Models	p. 17
Transparency in DCS	p. 22
Introduction to Fault Tolerance	p. 25
Synchronization	p. 27
Bibliography	p. 29
Scheduling Problem	p. 31
On Functioning of a DCS	p. 32
Desirable Characteristics of a Scheduler	p. 34
Scheduler as a Task Allocator	p. 35
Task Allocation Issues in DCS	p. 36
The Task Allocation Problem	p. 38
Assumptions & Notation	p. 42
Bibliography	p. 44
Load Balancing in DCS	p. 47
Load Distribution a DCS	p. 47
Load Balancing Methodology	p. 49
Task Migration	p. 52
Threads	p. 55
Conflicts between TA and LB	p. 55
Bibliography	p. 59
Known Task Allocation Models	p. 61
Early Models	p. 62
Limitations of Earlier Models	p. 72
Precedence Constrained Task Allocation	p. 74
IMC Cost Reduction using Fuzzy Logic	p. 83
Bibliography	p. 87
Load Balancing Task Allocation (LBTA)	p. 89
Known Load Balancing Strategies	p. 89
Issues of LBTA Strategy	p. 93
The LBTA Solution	p. 94
Loads in LBTA for Single Task	p. 97
Loads in LBTA for Multiple Tasks	p. 99
Bibliography	p. 101
GA Based Task Allocation Models	p. 103
Task Allocation using Genetic Algorithm	p. 105
Maximizing Reliability of DCS with Task Allocation using GA	p. 113
Bibliography	p. 122
Allocation of Multiple Tasks in DCS	p. 125
Multiple Task Allocation	p. 126
Cluster-Based Load Partitioning and Allocation in DCS	p. 146
The LBTA Strategy for Multiple Tasks Using A*	p. 163
The LBTA Strategy for Multiple Tasks Using GA	p. 203
Bibliography	p. 217
Other Approaches for Task Allocation	p. 219
Comparative Analysis of TA Models	p. 221
A Hybrid Model	p. 224
Object Allocation in Distributed Computing System	p. 231
Bibliography	p. 238
Scheduling in Computational Grid	p. 241
Need for Grid Computing	p. 243
Scalability for Global Computing	p. 243
Data and Computational Grids	p. 245
Scheduling in Computational Grid	p. 246
Challenges in Grid Computing	p. 248
Bibliography	p. 251
Concluding Remarks	p. 253
Summary of Findings	p. 253
Structures and Place of Scheduler in DOS	p. 258
Future Possibilities	p. 261
Bibliography	p. 262
Abbreviations	p. 264
Appendix A	p. 265
Appendix B	p. 277
Index	p. 293
Table of Contents provided by Ingram. All Rights Reserved.

Scheduling in Distributed Computing Systems

Analysis, Design and Models

At a Glance

Hardcover

Shipping

How to return your order

Defective items

You Can Find This Book In

Other Editions and Formats

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