• DocumentCode
    1649381
  • Title

    Stochastic Optimization for a Class of Hierarchical Unstructured P2P System

  • Author

    ChenFeng, Xu ; Hongsheng, Xi ; Qi, Jiang ; Baoqun, Yin

  • Author_Institution
    Univ. of Sci. & Technol. of China, Hefei
  • fYear
    2007
  • Firstpage
    693
  • Lastpage
    696
  • Abstract
    For a class of hierarchical unstructured P2P systems, a Markov Switching-Space model is introduced to describe their behavior of dynamic grouping. It is also formulated as a optimization problem based on Markov Decision Processes. And parameterized gradient algorithms are provided to optimize the performance, where two parameter reductions are mentioned. Following them are the corresponding simulations and discussions.
  • Keywords
    Markov processes; gradient methods; optimisation; peer-to-peer computing; Markov decision process; Markov switching-space model; hierarchical unstructured P2P system; parameterized gradient algorithm; stochastic optimization; Automation; Electronic mail; Peer to peer computing; Stochastic processes; Stochastic systems; Hierarchical Unstructered P2P; MDP; Supper Peer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference, 2007. CCC 2007. Chinese
  • Conference_Location
    Hunan
  • Print_ISBN
    978-7-81124-055-9
  • Electronic_ISBN
    978-7-900719-22-5
  • Type

    conf

  • DOI
    10.1109/CHICC.2006.4347255
  • Filename
    4347255
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1649381