Scheduling in Parallel Computing Systems: Fuzzy and Annealing Techniques
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...
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Hauptverfasser: | , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Boston, MA
Springer US
1999
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Schriftenreihe: | The Springer International Series in Engineering and Computer Science
510 |
Schlagworte: | |
Online-Zugang: | BTU01 Volltext |
Zusammenfassung: | 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 |
Beschreibung: | 1 Online-Ressource (XIII, 170 p) |
ISBN: | 9781461550655 |
DOI: | 10.1007/978-1-4615-5065-5 |
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520 | |a 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 | ||
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author | Salleh, Shaharuddin Zomaya, Albert Y. |
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discipline | Informatik |
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id | DE-604.BV045186815 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T08:10:58Z |
institution | BVB |
isbn | 9781461550655 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030575992 |
oclc_num | 1053821063 |
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physical | 1 Online-Ressource (XIII, 170 p) |
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publishDate | 1999 |
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publisher | Springer US |
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series2 | The Springer International Series in Engineering and Computer Science |
spelling | Salleh, Shaharuddin Verfasser aut Scheduling in Parallel Computing Systems Fuzzy and Annealing Techniques by Shaharuddin Salleh, Albert Y. Zomaya Boston, MA Springer US 1999 1 Online-Ressource (XIII, 170 p) txt rdacontent c rdamedia cr rdacarrier The Springer International Series in Engineering and Computer Science 510 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 Computer Science Processor Architectures Theory of Computation Mathematical Logic and Foundations Computer science Microprocessors Computers Mathematical logic Zomaya, Albert Y. aut Erscheint auch als Druck-Ausgabe 9781461373032 https://doi.org/10.1007/978-1-4615-5065-5 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Salleh, Shaharuddin Zomaya, Albert Y. Scheduling in Parallel Computing Systems Fuzzy and Annealing Techniques Computer Science Processor Architectures Theory of Computation Mathematical Logic and Foundations Computer science Microprocessors Computers Mathematical logic |
title | Scheduling in Parallel Computing Systems Fuzzy and Annealing Techniques |
title_auth | Scheduling in Parallel Computing Systems Fuzzy and Annealing Techniques |
title_exact_search | Scheduling in Parallel Computing Systems Fuzzy and Annealing Techniques |
title_full | Scheduling in Parallel Computing Systems Fuzzy and Annealing Techniques by Shaharuddin Salleh, Albert Y. Zomaya |
title_fullStr | Scheduling in Parallel Computing Systems Fuzzy and Annealing Techniques by Shaharuddin Salleh, Albert Y. Zomaya |
title_full_unstemmed | Scheduling in Parallel Computing Systems Fuzzy and Annealing Techniques by Shaharuddin Salleh, Albert Y. Zomaya |
title_short | Scheduling in Parallel Computing Systems |
title_sort | scheduling in parallel computing systems fuzzy and annealing techniques |
title_sub | Fuzzy and Annealing Techniques |
topic | Computer Science Processor Architectures Theory of Computation Mathematical Logic and Foundations Computer science Microprocessors Computers Mathematical logic |
topic_facet | Computer Science Processor Architectures Theory of Computation Mathematical Logic and Foundations Computer science Microprocessors Computers Mathematical logic |
url | https://doi.org/10.1007/978-1-4615-5065-5 |
work_keys_str_mv | AT sallehshaharuddin schedulinginparallelcomputingsystemsfuzzyandannealingtechniques AT zomayaalberty schedulinginparallelcomputingsystemsfuzzyandannealingtechniques |