• DocumentCode
    2496852
  • Title

    ISP business models in caching

  • Author

    Kunsemoller, Jorn ; Nan Zhang ; Soares, Joao

  • Author_Institution
    Grad. Program Automatisms, Univ. of Paderborn, Paderborn, Germany
  • fYear
    2013
  • fDate
    8-12 April 2013
  • Firstpage
    279
  • Lastpage
    285
  • Abstract
    Internet traffic volume is increasing and as a consequence, Internet content delivery is facing scalability issues. Different types of caching solutions improve this scalability. The incentives of different stakeholders to pay for the caching solutions are not known. However, it has been identified that Internet service providers (ISPs) need to be involved in the process of cache deployment due to their ownership of the network. Thus, this work first identifies the different business models of ISPs in a caching environment and utilizes game theory to evaluate these possible business models. Although ISP caching is potentially unstable, it turns out to be Pareto optimal at the right pricing, which encourages cooperation between content providers and ISPs.
  • Keywords
    Internet; cache storage; game theory; telecommunication traffic; ISP business models; ISP caching; Internet content delivery; Internet service providers; Internet traffic volume; Pareto optimal; cache deployment; game theory; scalability issues; Bandwidth; Business; Equations; Internet; Mathematical model; Pareto optimization; Servers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Engineering Workshops (ICDEW), 2013 IEEE 29th International Conference on
  • Conference_Location
    Brisbane, QLD
  • Print_ISBN
    978-1-4673-5303-8
  • Electronic_ISBN
    978-1-4673-5302-1
  • Type

    conf

  • DOI
    10.1109/ICDEW.2013.6547463
  • Filename
    6547463