• DocumentCode
    3200585
  • Title

    Large scale, type-compatible service composition

  • Author

    Constantinescu, Ion ; Faltings, Boi ; Binde, Walter

  • Author_Institution
    Artificial Intelligence Lab., Swiss Fed. Inst. of Technol., Lausanne, Switzerland
  • fYear
    2004
  • fDate
    6-9 July 2004
  • Firstpage
    506
  • Lastpage
    513
  • Abstract
    Service matchmaking and composition has recently drawn increasing attention in the research community. Most existing algorithms construct chains of services based on exact matches of input/output types. However, this does not work when the available services only cover a part of the range of the input type. We present an algorithm that also allows partial matches and composes them using switches that decide on the required service at runtime based on the actual data type. We report experiments on randomly generated composition problems that show that using partial matches can decrease the failure rate of the integration algorithm using only complete matches by up to 7 times with no increase in the number of directory accesses required. This shows that composition with partial matches is an essential and useful element of Web service composition.
  • Keywords
    Internet; data mining; knowledge representation; planning (artificial intelligence); Web service composition; input/output types; integration algorithm failure rate; large scale service composition; partial match; randomly generated composition problems; research community; service matchmaking; type-compatible service composition; Artificial intelligence; Electronics packaging; Engines; Impedance matching; Laboratories; Large-scale systems; Random number generation; Runtime; Switches; Web services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Services, 2004. Proceedings. IEEE International Conference on
  • Print_ISBN
    0-7695-2167-3
  • Type

    conf

  • DOI
    10.1109/ICWS.2004.1314776
  • Filename
    1314776