• DocumentCode
    170865
  • Title

    Performance evaluation and asymptotics for Content Delivery Networks

  • Author

    Shah, Virali ; de Veciana, Gustavo

  • Author_Institution
    ECE Dept., Univ. of Texas at Austin, Austin, TX, USA
  • fYear
    2014
  • fDate
    April 27 2014-May 2 2014
  • Firstpage
    2607
  • Lastpage
    2615
  • Abstract
    Large scale Content Delivery Networks (CDNs) are one of the key components of today´s information infrastructure. This paper proposes and analyzes a simple stochastic model for a file-server system wherein servers can work together, as a pooled resource, to meet individual user requests. In such systems basic questions include: How and where to replicate files? What is the impact of dynamic service allocation across request types, and whether it can provide substantial gains over simpler load balancing policies? What are tradeoffs amongst performance, reliability and recovery costs, and energy? The paper provides both explicit and asymptotic approximations for large systems towards addressing these basic questions.
  • Keywords
    computer network performance evaluation; file servers; CDN; dynamic service allocation; file-server system; information infrastructure; large scale content delivery networks; load balancing policies; performance evaluation; stochastic model; Approximation methods; Computers; Conferences; Delays; Load modeling; Resource management; Servers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    INFOCOM, 2014 Proceedings IEEE
  • Conference_Location
    Toronto, ON
  • Type

    conf

  • DOI
    10.1109/INFOCOM.2014.6848208
  • Filename
    6848208