Scheduling in Parallel Computing Systems: Fuzzy and Annealing Techniques (The Springer International Series in Engineering and Computer Science (510))

Salleh, Shaharuddin; Zomaya, Albert Y.

ISBN 10: 0792385330 / ISBN 13: 9780792385332

Published by Springer, 1999

About this Item

Clean Over All With No Marks Folds Or Highlights Inside. Nearly As New Condition. 170 Pages With The Index. Textbook Binding. Hardcover.books are NOT signed. We will state signed at the description section. we confirm they are signed via email or stated in the description box. - Specializing in academic, collectiblle and historically significant, providing the utmost quality and customer service satisfaction. For any questions feel free to email us.

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Bibliographic Details

• Title: Scheduling in Parallel Computing Systems: Fuzzy and Annealing Techniques (The Springer International Series in Engineering and Computer Science (510))
• Publisher: Springer
• Publication Date: 1999
• Language: English
• ISBN 10: 0792385330
• ISBN 13: 9780792385332
• Binding: Hardcover
• Condition: Very Good
• Seller catalogs:
  • Business & Economics

About this title

Synopsis

Scheduling in Parallel Computing Systems: Fuzzy and Annealing Techniques advocates the viability of using fuzzy and annealing methods in solving scheduling problems for parallel computing systems. The book proposes new techniques for both static and dynamic scheduling, using emerging paradigms that are inspired by natural phenomena such as fuzzy logic, mean-field annealing, and simulated annealing. Systems that are designed using such techniques are often referred to in the literature as `intelligent' because of their capability to adapt to sudden changes in their environments. Moreover, most of these changes cannot be anticipated in advance or included in the original design of the system.
Scheduling in Parallel Computing Systems: Fuzzy and Annealing Techniques provides results that prove such approaches can become viable alternatives to orthodox solutions to the scheduling problem, which are mostly based on heuristics. Although heuristics are robust and reliable when solving certain instances of the scheduling problem, they do not perform well when one needs to obtain solutions to general forms of the scheduling problem. On the other hand, techniques inspired by natural phenomena have been successfully applied for solving a wide range of combinatorial optimization problems (e.g. traveling salesman, graph partitioning). The success of these methods motivated their use in this book to solve scheduling problems that are known to be formidable combinatorial problems.
Scheduling in Parallel Computing Systems: Fuzzy and Annealing Techniques is an excellent reference and may be used for advanced courses on the topic.