• DocumentCode
    3176064
  • Title

    Publish/Subscribe Driven Matching Algorithm

  • Author

    Song, Min ; Zhang, Zhe ; Yin, Guisheng ; Wang, Hongbin ; Ni, Jun

  • Author_Institution
    Coll. of Comput. Sci. & Technol., Harbin Eng. Univ., Harbin, China
  • fYear
    2009
  • fDate
    21-22 Dec. 2009
  • Firstpage
    249
  • Lastpage
    254
  • Abstract
    The characteristics of publish/subscribe technology are of asynchronism and loosely coupled. This phenomenon makes producers and consumers are de-communicated in temporal and spatial domains during processing. It requires develop a dynamic integration in today´s large-scale, distributed information system. This paper introduces a Semantic Integration Data Model (SIDM) for publish/subscribe systems, within which model subscription module is designed. The model contains a matching algorithm which combines both publishing-driven and subscription-driven matching algorithms. Our experiments show that this matching algorithm has high efficiency for matching.
  • Keywords
    data models; information systems; message passing; middleware; pattern matching; Semantic Integration Data Model; large scale distributed information system; model subscription module; publish-subscribe driven matching algorithm; publish-subscribe systems; publishing-driven matching algorithm; subscription-driven matching algorithm; Computer science; Data models; Information systems; Internet; Middleware; Prototypes; Space technology; Subscriptions; Writing; XML; Publish/subscribe; algorithm; information system; integration; matching;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Internet Computing for Science and Engineering (ICICSE), 2009 Fourth International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4244-6754-9
  • Type

    conf

  • DOI
    10.1109/ICICSE.2009.49
  • Filename
    5521595