• DocumentCode
    2732337
  • Title

    Substring Matching in P2P Publish/Subscribe Data Management Networks

  • Author

    Aekaterinidis, I. ; Triantafillou, P.

  • Author_Institution
    Dept. Comput. Eng. & Informatics, Patras Univ., Greece
  • fYear
    2007
  • fDate
    15-20 April 2007
  • Firstpage
    1390
  • Lastpage
    1394
  • Abstract
    The content-based publish/subscribe (pub/sub) paradigm for system design is becoming increasingly popular, offering unique benefits for a large number of data-intensive applications. Coupled with the peer-to-peer technology, it can serve as a central building block for such applications deployed over a large-scale network infrastructure. A key problem toward the creation of large-scale content-based pub/sub infrastructures relates to dealing efficiently with continuous queries (subscriptions) with rich predicates on string attributes; in this work we study the problem of efficiently and accurately matching substring queries to incoming events.
  • Keywords
    middleware; peer-to-peer computing; query processing; string matching; P2P publish-subscribe data management networks; content-based publish-subscribe; data-intensive applications; large-scale network infrastructure; peer-to-peer technology; substring query matching; Application software; Computer network management; Computer networks; Data structures; Informatics; Intrusion detection; Large-scale systems; Routing; Subscriptions; Technology management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Engineering, 2007. ICDE 2007. IEEE 23rd International Conference on
  • Conference_Location
    Istanbul
  • Print_ISBN
    1-4244-0802-4
  • Type

    conf

  • DOI
    10.1109/ICDE.2007.369019
  • Filename
    4221809