Task Scheduling in Distributed Computing Environments | Efficient Task Scheduling Algorithms for Distributed Computing Environments

Jeffrey Elcock (u. a.)

ISBN 10: 383833194X / ISBN 13: 9783838331942

Published by LAP LAMBERT Academic Publishing, 2010

About this Item

Task Scheduling in Distributed Computing Environments | Efficient Task Scheduling Algorithms for Distributed Computing Environments | Jeffrey Elcock (u. a.) | Taschenbuch | 184 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783838331942 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Seller Inventory # 101377597

Bibliographic Details

• Title: Task Scheduling in Distributed Computing Environments | Efficient Task Scheduling Algorithms for Distributed Computing Environments
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2010
• Language: English
• ISBN 10: 383833194X
• ISBN 13: 9783838331942
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 12D millimeters 220 millimeters width by 150 millimeters height by 12 millimeters depth
• Weight: 292 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Efficient and effective scheduling of processes/tasks or applications is one of the most critical components for enhancing performance in distributed computing environments. Distributed computing environments are becoming more complicated as large numbers of geographically dispersed high-performance computers and high-speed networks are being interconnected with the advent of grid computing. Such environments have made the scheduling problem even more challenging. Process scheduling is a known to be an NP-complete problem, and as a result many heuristic algorithms have been proposed to tackle it. In this book, we investigate the scheduling problem and propose four algorithms, using task duplication, for scheduling processes in different computing environments ? homogeneous, heterogeneous; and set of heterogeneous clusters. Employing duplication can considerably reduce the cost associated with inter-processor communication. The scheduling techniques, proposed in this book, should be useful to researchers and IT professionals already in the field, or anyone else who might be interested in or considering research in this area.