• DocumentCode
    2443704
  • Title

    A Distributed Resource Evolutionary Algorithm Machine (DREAM)

  • Author

    Paechter, B. ; Bäck, Thomas ; Schoenauer, Marc ; Sebag, Michele ; Eiben, A.E. ; Merelo, J.J. ; Fogarty, T.C.

  • Author_Institution
    Napier Univ., Edinburgh, UK
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    951
  • Abstract
    This paper describes a project funded by the European Commission which seeks to provide the technology and software infrastructure necessary to support the next generation of evolving infohabitants in a way that makes that infrastructure universal, open and scalable. The Distributed Resource Evolutionary Algorithm Machine (DREAM) will use existing hardware infrastructure in a more efficient manner, by utilising otherwise unused CPU time. It will allow infohabitants to co-operate, communicate, negotiate and trade; and emergent behaviour is expected to result. It is expected that there will be an emergent economy that results from the provision and use of CPU cycles by infohabitants and their owners. The DREAM infrastructure will be evaluated with new work on distributed data mining, distributed scheduling and the modelling of economic and social behaviour
  • Keywords
    data mining; distributed programming; evolutionary computation; resource allocation; scheduling; DREAM; Distributed Resource Evolutionary Algorithm Machine; co-operation; communication; distributed data mining; distributed scheduling; economic behaviour modelling; emergent behaviour; emergent economy; evolving infohabitants; hardware infrastructure; negotiation; social behaviour modelling; software infrastructure; trading; unused CPU time; Biological cells; Data mining; Ecosystems; Environmental economics; Evolutionary computation; Hardware; Home appliances; Humans; Internet; Scheduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2000. Proceedings of the 2000 Congress on
  • Conference_Location
    La Jolla, CA
  • Print_ISBN
    0-7803-6375-2
  • Type

    conf

  • DOI
    10.1109/CEC.2000.870746
  • Filename
    870746