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Herausgeber: 
  • Ajith Abraham
  • Fatos Xhafa
  • Metaheuristics for Scheduling in Distributed Computing Environments 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  August 2008  
    Genre:  Naturwissensch., Medizin, Technik 
     
    Applied mathematics / Artificial Intelligence / B / engineering / Engineering mathematics / Fertigungstechnik und Ingenieurwesen / intelligence / Künstliche Intelligenz
    ISBN:  9783540692607 
    EAN-Code: 
    9783540692607 
    Verlag:  Springer EN 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D 28 mm 
    Gewicht:  740 gr 
    Seiten:  364 
    Illustration:  XV, 364 p. 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Grid computing has emerged as one of the most promising computing paradigms
    of the new millennium! Achieving high performance Grid computing requires
    techniques to efficiently and adaptively allocate jobs and applications to
    available resources in a large scale, highly heterogenous and dynamic environment.

    This volume presents meta-heuristics approaches for Grid scheduling problems.
    Due to the complex nature of the problem, meta-heuristics are primary techniques
    for the design and implementation of efficient Grid schedulers.
    The volume brings new ideas, analysis, implementations and evaluation of
    meta-heuristic techniques for Grid scheduling, which make this volume novel
    in several aspects. The 13 chapters of this volume have identified several
    important formulations of the problem, which we believe will serve as a reference
    for the researchers in the Grid computing community.

    Important features include the detailed overview of the various novel metaheuristic
    scheduling approaches, excellent coverage of timely, advanced scheduling topics,
    state-of-the-art theoretical research and application developments and chapters
    authored by pioneers in the field. Academics, scientists as well as engineers
    engaged in research, development and scheduling will find the comprehensive
    coverage of this book invaluable.

      



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