• DocumentCode
    1669968
  • Title

    A Web Service Composition Method Based on Compact K2-Trees

  • Author

    Jing Li ; Yuhong Yan ; Lemire, Daniel

  • Author_Institution
    Dept. of Comput. Sci. & Software Eng., Concordia Univ., Montreal, QC, Canada
  • fYear
    2015
  • Firstpage
    403
  • Lastpage
    410
  • Abstract
    With the advent of cloud computing, a significant number of web services are available on the Internet. Services can be combined together when user´s requirements are too complex to be solved by individual services. Since there are many services, searching a solution may require much storage. We propose to apply a compact data structure to represent the web service composition graph. To the best of our knowledge, our work is the first attempt to consider compact structure in solving the web service composition problem. Experimental results show that our method can find a valid solution to the composition problem, meanwhile, it takes less space and shows good scalability when handling a large number of web services.
  • Keywords
    Web services; data structures; graph theory; Internet; Web Service composition method; Web service composition graph; cloud computing; compact K2-trees; data structure; Data structures; Electronic mail; Indexes; Planning; Quality of service; Vegetation; Web services; QoS-aware service composition; graph compression; semantic match;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Services Computing (SCC), 2015 IEEE International Conference on
  • Conference_Location
    New York, NY
  • Print_ISBN
    978-1-4673-7280-0
  • Type

    conf

  • DOI
    10.1109/SCC.2015.62
  • Filename
    7207380