• DocumentCode
    3324506
  • Title

    An automatic service composition algorithm for constructing the global optimal service tree based on QoS

  • Author

    Du, Wu ; Fan, Hong

  • Author_Institution
    State Key Lab. of Inf. Eng. in Surveying, Mapping & Remote Sensing, Wuhan Univ., Wuhan, China
  • fYear
    2010
  • fDate
    25-30 July 2010
  • Firstpage
    3976
  • Lastpage
    3979
  • Abstract
    As the non-functional semantics of Web service, Quality of Service (QoS) takes an essential role in actual use of Web services. It is necessary to take the QoS into account in the discovery and composition of Web services. This paper presents an automatic service composition algorithm to generate the composite services which are called service trees, and then addresses the issue of composite service selection by applying the Multiple Criteria Decision Making (MCDM) technique on the principle of globally optimize the QoS of composite services. A QoS ontology is established to describe and measure service quality, and a use case about the reservoir is given to show the automatic composition of the Geospatial Web Service (GWS).
  • Keywords
    Web services; geographic information systems; geophysics computing; quality of service; trees (mathematics); QoS ontology; automatic service composition algorithm; composite service selection; geospatial Web service; global optimal service tree; multiple criteria decision making; nonfunctional semantics; quality of service; service quality; service trees; Availability; Geospatial analysis; Ontologies; Quality of service; Semantics; Web services; Geospatial Web Service; Ontology; Quality of Service; Service composition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
  • Conference_Location
    Honolulu, HI
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4244-9565-8
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2010.5650959
  • Filename
    5650959