• DocumentCode
    1493151
  • Title

    Reducing outgoing traffic of proxy cache by using client-cluster

  • Author

    Kim, Kyungbaek ; Park, Daeyeon

  • Author_Institution
    Department of Electrical Engineering and Computer Science, the division of Electrical Engineering, KAIST, Daejeon, Republic of Korea
  • Volume
    8
  • Issue
    3
  • fYear
    2006
  • Firstpage
    330
  • Lastpage
    338
  • Abstract
    Many web cache systems and policies concerning them have been proposed. These studies, however, consider large objects less useful than small objects in terms of performance, and evict them as soon as possible. Even if this approach increases the hit rate, the byte hit rate decreases and the connections occurring over congested links to outside networks waste more bandwidth in obtaining large objects. This paper puts forth a client-cluster approach for improving the web cache system. The client-cluster is composed of the residual resources of clients and utilizes them as exclusive storage for large objects. This proposed system achieves not only a high hit rate but also a high byte hit rate, while reducing outgoing traffic. The distributed hash table (DHT) based peer-to-peer lookup protocol is utilized to manage the client-cluster. With the natural characteristics of this protocol, the proposed system with the client-cluster is self-organizing, fault-tolerant, well-balanced, and scalable. Additionally, the large objects are managed with an index based allocation method, which balances the loads of all clients well. The performance of the cache system is examined via a trace driven simulation and an effective enhancement of the proxy cache performance is demonstrated.
  • Keywords
    Bandwidth; Bismuth; Indexes; Peer to peer computing; Protocols; Servers; Time factors; Client-cluster; peer-to-peer; replacement algorithm; web caching;
  • fLanguage
    English
  • Journal_Title
    Communications and Networks, Journal of
  • Publisher
    ieee
  • ISSN
    1229-2370
  • Type

    jour

  • DOI
    10.1109/JCN.2006.6182773
  • Filename
    6182773