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Web service selection based on similarity evaluation

Conference Paper


Abstract


  • Non-functional property is of paramount importance

    for Web services to function. However, service selection

    with consideration of Quality of Service is a challenge. This

    paper presents an approach to service selection by measuring

    the similarity between the web service publication and

    the service request. We identify five tendencies of the nonfunctional

    dimensions in the service requests; and present a

    flexible matchmaking approach which enables users to preset the

    negotiable preferences. Unlike other service selection approaches,

    we obtain the relative distance to compute the similarity score

    for generating the ranking list. Specifically, we introduce a novel

    method for evaluating the similarity between

Authors


  •   Gao, Hao (external author)
  •   Yan, Jun
  •   Mu, Yi (external author)

Publication Date


  • 2011

Citation


  • Gao, H., Yan, J. & Mu, Y. (2011). Web service selection based on similarity evaluation. In H. Jacobsen, Y. Wang & P. Hung (Eds.), Proceedings 2011 IEEE International Conference on Services Computing-SCC 2011 (pp. 323-329). Washington, USA: IEEE.

Scopus Eid


  • 2-s2.0-80053167064

Ro Metadata Url


  • http://ro.uow.edu.au/infopapers/3846

Start Page


  • 323

End Page


  • 329

Place Of Publication


  • http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6009277

Abstract


  • Non-functional property is of paramount importance

    for Web services to function. However, service selection

    with consideration of Quality of Service is a challenge. This

    paper presents an approach to service selection by measuring

    the similarity between the web service publication and

    the service request. We identify five tendencies of the nonfunctional

    dimensions in the service requests; and present a

    flexible matchmaking approach which enables users to preset the

    negotiable preferences. Unlike other service selection approaches,

    we obtain the relative distance to compute the similarity score

    for generating the ranking list. Specifically, we introduce a novel

    method for evaluating the similarity between

Authors


  •   Gao, Hao (external author)
  •   Yan, Jun
  •   Mu, Yi (external author)

Publication Date


  • 2011

Citation


  • Gao, H., Yan, J. & Mu, Y. (2011). Web service selection based on similarity evaluation. In H. Jacobsen, Y. Wang & P. Hung (Eds.), Proceedings 2011 IEEE International Conference on Services Computing-SCC 2011 (pp. 323-329). Washington, USA: IEEE.

Scopus Eid


  • 2-s2.0-80053167064

Ro Metadata Url


  • http://ro.uow.edu.au/infopapers/3846

Start Page


  • 323

End Page


  • 329

Place Of Publication


  • http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6009277