• DocumentCode
    1811091
  • Title

    Dynamic Filter Merging for Publish/Subscribe

  • Author

    Tarkoma, Sasu

  • Author_Institution
    Telecommunications Software and Multimedia Laboratory and Helsinki Institute for Information Technology (HIIT), Helsinki University of Technology P.O. Box 5400, 02015 TKK, Finland, Email: sasu.tarkoma@tml.hut.fi
  • fYear
    2007
  • fDate
    18-21 June 2007
  • Firstpage
    1
  • Lastpage
    9
  • Abstract
    Filter-based publish/subscribe and content-based routing have been proposed for flexible information dissemination in distributed environments. A content-based router is part of an overlay structure, in which each router forwards events to neighbouring routers and local clients based on their interests. Filter merging or summarization has been proposed as an optimization strategy in this environment. These techniques combine filters to reduce the number of propagated filters and thus the size of distributed state. In this paper, we present the algorithms for generic dynamic filter merging and discuss integration with routing tables. The algorithms are based on a formal framework of merging rules. Experimental results are examined and analyzed for both desktop systems and small devices. The results indicate that dynamic filter merging is feasible given that the workload is mergeable.
  • Keywords
    Data structures; Heuristic algorithms; Information filtering; Information filters; Information technology; Laboratories; Merging; Routing; Runtime; Subscriptions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    World of Wireless, Mobile and Multimedia Networks, 2007. WoWMoM 2007. IEEE International Symposium on a
  • Conference_Location
    Espoo, Finland
  • Print_ISBN
    978-1-4244-0993-8
  • Electronic_ISBN
    978-1-4244-0993-8
  • Type

    conf

  • DOI
    10.1109/WOWMOM.2007.4351720
  • Filename
    4351720