• DocumentCode
    3515900
  • Title

    Fulfilling the vision of fully autonomic peer-to-peer systems

  • Author

    Amoretti, Michele

  • Author_Institution
    Dept. of Inf. Eng., Univ. of Parma, Parma, Italy
  • fYear
    2010
  • fDate
    June 28 2010-July 2 2010
  • Firstpage
    348
  • Lastpage
    354
  • Abstract
    A peer-to-peer (P2P) distributed system is a network of collectors, providers and consumers of resources. In order to be autonomic, peers may be provided with an internal structure being dynamically adjusted by an adaptive plan which determines successive re-configurations in response to the environment. To address this challenging problem, we have introduced the Adaptive Autonomic Framework, that allows to turn any P2P network in a complex adaptive system. In this paper we present the performance analysis of an AEF-based architecture for Grid Computing.
  • Keywords
    Adaptation model; Biological cells; Computer architecture; Grid computing; Noise measurement; Peer to peer computing; Random access memory; autonomic computing; genetic algorithms; peer-to-peer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High Performance Computing and Simulation (HPCS), 2010 International Conference on
  • Conference_Location
    Caen, France
  • Print_ISBN
    978-1-4244-6827-0
  • Type

    conf

  • DOI
    10.1109/HPCS.2010.5547110
  • Filename
    5547110