• DocumentCode
    608015
  • Title

    FuzzyCDN: Fuzzy Redirection Algorithm

  • Author

    de Oliveira, T.Q. ; Fernandez, M.P.

  • fYear
    2013
  • fDate
    25-28 March 2013
  • Firstpage
    437
  • Lastpage
    444
  • Abstract
    Content Delivery Network (CDN) is a large distributed system of servers deployed in multiple data centers on the Internet. Its main goal is to serve requests from users providing high availability and performance. It also reduces the system failure risk providing redirection to many replica servers. It can provide load balancing between servers, avoiding network bottlenecks and, therefore, ensuring greater performance and QoE (Quality of Experience) to the end user. One of the critical issues involving CDN networks is the algorithm used to choose the replica server, because it directly influences the performance and scalability of the network. In this paper, the FuzzyCDN algorithm is proposed. The algorithm chooses the best replica server in a CDN network using a Fuzzy logic decision-making algorithm. The proposal is compared in simulation against other algorithms in the literature.
  • Keywords
    Internet; computer network performance evaluation; distributed processing; fuzzy logic; quality of experience; resource allocation; CDN networks; FuzzyCDN algorithm; Internet; QoE; content delivery network; data centers; fuzzy logic decision making algorithm; fuzzy redirection algorithm; large distributed system; load balancing; network performance; network scalability; quality of experience; replica servers; system failure risk reduction; Adaptive algorithms; Fuzzy logic; Measurement; Proposals; Routing; Servers; Time factors; Content Delivery Network; Fuzzy Logic; Web Server;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Information Networking and Applications (AINA), 2013 IEEE 27th International Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1550-445X
  • Print_ISBN
    978-1-4673-5550-6
  • Electronic_ISBN
    1550-445X
  • Type

    conf

  • DOI
    10.1109/AINA.2013.112
  • Filename
    6531788