• DocumentCode
    1808901
  • Title

    Distributed algorithms for content allocation in interconnected content distribution networks

  • Author

    Pacifici, Valentino ; Dan, Gyorgy

  • Author_Institution
    ACCESS Linnaeus Center, R. Inst. of Technol., Stockholm, Sweden
  • fYear
    2015
  • fDate
    April 26 2015-May 1 2015
  • Firstpage
    2362
  • Lastpage
    2370
  • Abstract
    Internet service providers increasingly deploy internal CDNs with the objective of reducing the traffic on their transit links and to improve their customers´ quality of experience. Once ISP managed CDNs (nCDNs) become commonplace, ISPs would likely provide common interfaces to interconnect their nCDNs for mutual benefit, as they do with peering today. In this paper we consider the problem of using distributed algorithms for computing a content allocation for nCDNs. We show that if every ISP aims to minimize its cost and bilateral payments are not allowed then it may be impossible to compute a content allocation. For the case of bilateral payments we propose two distributed algorithms, the aggregate value compensation (AC) and the object value compensation (OC) algorithms, which differ in terms of the level of parallelism they allow and in terms of the amount of information exchanged between nCDNs. We prove that the algorithms converge, and we propose a scheme to ensure ex-post individual rationality. Simulations performed on a real AS-level network topology and synthetic topologies show that the algorithms have geometric rate of convergence, and scale well with the graphs´ density and the nCDN capacity.
  • Keywords
    Internet; distributed algorithms; graph theory; quality of experience; telecommunication network topology; telecommunication traffic; AS-level network topology; Internet service providers; OC algorithms; bilateral payments; content allocation; distributed algorithms; graph density; interconnected content distribution networks; object value compensation; quality of experience; synthetic topologies; transit links; Aggregates; Convergence; Cost function; Distributed algorithms; Games; Nash equilibrium; Resource management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Communications (INFOCOM), 2015 IEEE Conference on
  • Conference_Location
    Kowloon
  • Type

    conf

  • DOI
    10.1109/INFOCOM.2015.7218624
  • Filename
    7218624