Overview
- Editors:
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Fatos Xhafa
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Department of Languages and Informatics Systems, Polytechnic University of Catalonia, Barcelona, Spain
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Ajith Abraham
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Norwegian Center of Excellence Center of Excellence for Quantifiable Quality of Service, Norwegian University of Science and Technology, Trondheim, Norway
- First book on scheduling problems in Grid, P2P and other Emergent Computational Systems
- Includes supplementary material: sn.pub/extras
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Table of contents (13 chapters)
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Front Matter
Pages I-XXIII
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- G. I. Zobolas, C. D. Tarantilis, G. Ioannou
Pages 1-40
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- Manuel Iori, Silvano Martello
Pages 41-59
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- Jens Czogalla, Andreas Fink
Pages 61-89
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- Zne-Jung Lee, Shih-Wei Lin, Kuo-Ching Ying
Pages 91-103
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- Seamus M. McGovern, Surendra M. Gupta
Pages 105-124
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- Mehmet E. Aydin, Mehmet Sevkli
Pages 125-144
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- D. Ferreira, P. M. França, A. Kimms, R. Morabito, S. Rangel, C. F. M. Toledo
Pages 169-210
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- P. Tormos, A. Lova, F. Barber, L. Ingolotti, M. Abril, M. A. Salido
Pages 255-276
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- Soumya Banerjee, G. S. Dangayach, S. K. Mukherjee, P. K. Mohanti
Pages 277-300
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- Álvaro García-Sánchez, Luis Miguel Arreche, Miguel Ortega-Mier
Pages 301-325
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- Ajith Abraham, Hongbo Liu, Mingyan Zhao
Pages 327-342
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Back Matter
Pages 343-346
About this book
During the past decades scheduling has been among the most studied op- mization problemsanditisstillanactiveareaofresearch!Schedulingappears in many areas of science, engineering and industry and takes di?erent forms depending on the restrictions and optimization criteria of the operating en- ronments [8]. For instance, in optimization and computer science, scheduling has been de?ned as “the allocation of tasks to resources over time in order to achieve optimality in one or more objective criteria in an e?cient way” and in production as “production schedule, i. e. , the planning of the production or the sequence of operations according to which jobs pass through machines and is optimal with respect to certain optimization criteria. ” Although there is a standardized form of stating any scheduling problem, namely “e?cient allocation ofn jobs onm machines –which can process no more than one activity at a time– with the objective to optimize some - jective function of the job completion times”, scheduling is in fact a family of problems. Indeed, several parameters intervene in the problem de?nition: (a) job characteristics (preemptive or not, precedence constraints, release dates, etc. ); (b) resource environment (single vs. parallel machines, un- lated machines, identical or uniform machines, etc. ); (c) optimization criteria (minimize total tardiness, the number of late jobs, makespan, ?owtime, etc. ; maximize resource utilization, etc. ); and, (d) scheduling environment (static vs. dynamic,intheformerthenumberofjobstobeconsideredandtheirready times are available while in the later the number of jobs and their charact- istics change over time).
Reviews
From the reviews:
"This balanced collection of 13 chapters presents quality research, with each chapter describing an industrial or manufacturing case related to scheduling. … The use of heuristics is very appropriate for most scheduling problems … . The problems, methods, and approaches presented in the book are very diverse, offering a good starting point for solving most practical scheduling problems. … An advantage of the book--the diversity of the problems and solutions presented … ." (Waldemar Koczkodaj, ACM Computing Reviews, October, 2009)
Editors and Affiliations
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Department of Languages and Informatics Systems, Polytechnic University of Catalonia, Barcelona, Spain
Fatos Xhafa
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Norwegian Center of Excellence Center of Excellence for Quantifiable Quality of Service, Norwegian University of Science and Technology, Trondheim, Norway
Ajith Abraham
