• DocumentCode
    2950799
  • Title

    A Scalable Model for Service Discovery in P2P Environment

  • Author

    Zhang, Lin

  • Author_Institution
    Dept. of Comput. & Inf. Eng., Wuhan Polytech. Univ., Wuhan, China
  • fYear
    2011
  • fDate
    20-21 Aug. 2011
  • Firstpage
    495
  • Lastpage
    498
  • Abstract
    The key to Web Service discovery is how to quickly locate target services among numerous registries, and exactly describe services so as to match between service requests and advertisements. Currently Web Service systems, which publish WSDL-described Web Services in UDDI, cannot support automatic Web Service publication, discovery and execution. UDDI has become the bottleneck of the whole system and would cause single node failure problems. Aiming at the above problems, this paper presents a semantic based web service discovery model which is designed for operation in a two-layer P2P network topology without a need for centralized service registries. Furthermore, the OWL-S ontology is used to add semantics to the Web Service descriptions and then register them on a specific registries peer in the P2P environment according to the service´s domain ontology. By organizing the Web Services according to our proposed model, Web Service discovery can be realized scalability and efficiently.
  • Keywords
    Web services; knowledge representation languages; ontologies (artificial intelligence); peer-to-peer computing; OWL-S ontology; UDDI; WSDL described Web Services; automatic Web service publication; semantic based Web service discovery model; service domain ontology; single node failure problems; two layer P2P network topology; Filtering; OWL; Ontologies; Peer to peer computing; Quality of service; Semantics; Web services; P2P; Web Service; ontology; service discovery;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligence Science and Information Engineering (ISIE), 2011 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4577-0960-9
  • Electronic_ISBN
    978-0-7695-4480-9
  • Type

    conf

  • DOI
    10.1109/ISIE.2011.85
  • Filename
    5997491