• DocumentCode
    2817558
  • Title

    Statistical physics Gibbs ensemble theory application to Internet system

  • Author

    Gao, Xiaoquan ; Hongyan Li ; Huang, Xiaowu ; Gui, Chao ; Sun, Baolin

  • Author_Institution
    Comput. Sci. Dept., Univ. Pantheon-Assas, Paris, France
  • Volume
    1
  • fYear
    2010
  • fDate
    17-18 April 2010
  • Firstpage
    327
  • Lastpage
    330
  • Abstract
    In this paper, we first give a brief review of statistical physics Gibbs ensemble theory, then present a detail analysis and discuss for its essence, characteristics, applicable conditions, applicable scope and application domain. We think that rapid developing Internet scale has reached or near the requirements of thermodynamic limitation and internet package Sockets have satisfied the basic requirements of Statistical physics. After analysis of its structure, composition and essence, we defined it as Socketon. Section 3 describes its behavior composition and gives out integrated mathematical expressions, and then we use the Gibbs ensemble theory into Internet system and deduced the partition function of Internet grand canonical ensemble. So produce a series of means, concepts and parameters to describe the Internet and the inner relations among websites and between website and clients. This opens a new research field.
  • Keywords
    Internet; statistical analysis; Gibbs ensemble theory; Internet; Socketon; Sockets package; canonical ensemble; statistical physics; Application software; Chaos; Ecosystems; IP networks; Internet; Physics; Quantum mechanics; Statistics; Temperature; Thermodynamics; Internet Gibbs ensemble theory; Internet dynamics; Socketon; website heat; website potential;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    E-Health Networking, Digital Ecosystems and Technologies (EDT), 2010 International Conference on
  • Conference_Location
    Shenzhen
  • Print_ISBN
    978-1-4244-5514-0
  • Type

    conf

  • DOI
    10.1109/EDT.2010.5496568
  • Filename
    5496568