Intelligent Decision Systems in Large-Scale Distributed Environments

  • Pascal Bouvry
  • Horacio González-Vélez
  • Joanna Kołodziej

Part of the Studies in Computational Intelligence book series (SCI, volume 362)

Table of contents

  1. Front Matter
  2. Joanna Kołodziej, Fatos Xhafa
    Pages 1-24
  3. Johnatan E. Pecero, Frederic Pinel, Bernabé Dorronsoro, Grégoire Danoy, Pascal Bouvry, Albert Y. Zomaya
    Pages 25-47
  4. Bernabé Dorronsoro, Grégoire Danoy, Pascal Bouvry, Antonio J. Nebro
    Pages 49-74
  5. Yacine Kessaci, Mohand Mezmaz, Nouredine Melab, El-Ghazali Talbi, Daniel Tuyttens
    Pages 75-100
  6. Maksud Ibrahimov, Arvind Mohais, Sven Schellenberg, Zbigniew Michalewicz
    Pages 125-148
  7. Juan Li, Samee Ullah Khan, Qingrui Li, Nasir Ghani, Nasro Min-Allah, Pascal Bouvry et al.
    Pages 149-164
  8. Aleksander Byrski, Marek Kisiel-Dorohinicki, Jacek Dajda, Grzegorz Dobrowolski, Edward Nawarecki
    Pages 165-186
  9. Ana Peleteiro, Juan C. Burguillo, Ana L. Bazzan
    Pages 187-206
  10. Stephan Otto, Christoph Niemann
    Pages 207-229
  11. Nikos Tziritas, Samee Ullah Khan, Thanasis Loukopoulos
    Pages 231-250
  12. Doina Logofătu, Manfred Gruber, Dumitru Dan Dumitrescu
    Pages 279-291
  13. Michael T. Todinov
    Pages 293-314
  14. Marcin Szpyrka, Piotr Matyasik, Rafał Mrówka
    Pages 315-341
  15. Back Matter

About this book


One of the most challenging issues for the intelligent decision systems is to effectively manage the large-scale complex distributed environments such as computational clouds, grids, ad hoc and P2P networks, under the different types of users, their relations, and real-world uncertainties. In this context the IT resources and services usually belong to different owners (institutions, enterprises, or individuals) and are managed by different administrators. These administrators conform to different sets of rules and configuration directives, and can impose different usage policies on the system users. Additionally,  uncertainties are presented in various types of information that are incomplete, imprecise, fragmentary or overloading, which hinders the full and precise determination of the evaluation criteria, their subsequent and selection, the assignment scores, and eventually the final integrated decision result.


This book presents new ideas, analysis, implementations and evaluation of the next generation intelligent techniques for solving complex decision problems in large-scale distributed systems. In 15 chapters several important formulations of the decision problems in heterogeneous environments are identified and a review of the recent approaches, from game theoretical models and computational intelligent techniques, such as genetic, memetic and evolutionary algorithms, to intelligent multi-agent systems and networking are presented. We believe that this volume will serve as a reference for the students, researchers and industry practitioners working in or are interested in joining interdisciplinary works in the areas of intelligent decision systems using emergent distributed computing paradigms. It will also allow newcomers to grasp key concerns and potential solutions on the selected topics.


Computational Intelligence Intelligent Decision Systems Intelligent Systems

Editors and affiliations

  • Pascal Bouvry
    • 1
  • Horacio González-Vélez
    • 2
  • Joanna Kołodziej
    • 3
  1. 1.Computer Science and Communications Research UnitUniversity of LuxembourgLuxembourg
  2. 2.School of Computing and IDEAS Research InstituteRobert Gordon UniversityAberdeenUnited Kingdom
  3. 3.Department of Mathematics and Computer ScienceUniversity of Bielsko-BialaBielsko-BialaPoland

Bibliographic information

  • DOI
  • Copyright Information Springer Berlin Heidelberg 2011
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-642-21270-3
  • Online ISBN 978-3-642-21271-0
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site
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