• DocumentCode
    1857591
  • Title

    Understanding Individual Nodes in Peer-to-Peer Systems

  • Author

    Song, Gyuwon ; Kim, Suhyun ; Jang, Sunghwan ; Seo, Daeil

  • Author_Institution
    Human Comput. Interaction & Robot. Dept., Univ. of Sci. & Technol., Seoul, South Korea
  • fYear
    2010
  • fDate
    2-5 Aug. 2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper addresses a simple question: Is there a behavior pattern of an individual node in peer-to-peer systems? It is known that peer-to-peer systems collectively show daily patterns, but the behavior patterns of individual nodes have seldom been studied. If individual nodes have their own behavior patterns with reasonable accuracy, we could greatly improve the efficiency of the system by reducing the overhead to handle unexpected random node failures. Even though there have been many empirical studies on peerto-peer systems, most of them are focusing on a collective view to characterize the whole systems in terms of average availability, average session length, and so on. In this paper we present Peer Availability Table (PAT) which is a model to represent a behavior pattern of an individual node based on the measurement of node availability. To judge the existence of the behavior pattern, we measure the performance of PAT using a binary classification test. By answering the basic question, we provide a useful hint for the design of peer-to-peer systems.
  • Keywords
    pattern classification; peer-to-peer computing; average session length; binary classification test; peer availability table; peer-to-peer systems; random node failures; Accuracy; Availability; Frequency measurement; Peer to peer computing; Probes; Sensitivity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Communications and Networks (ICCCN), 2010 Proceedings of 19th International Conference on
  • Conference_Location
    Zurich
  • ISSN
    1095-2055
  • Print_ISBN
    978-1-4244-7114-0
  • Type

    conf

  • DOI
    10.1109/ICCCN.2010.5560079
  • Filename
    5560079