• DocumentCode
    3681355
  • Title

    Large-Scale Web Service Collection for Service Archive Management

  • Author

    Zhen Zhang;Zhiyong Feng;Shizhan Chen;Liyuan Xin;Yan Hao

  • Author_Institution
    Tianjin Key Lab. of Cognitive Comput. &
  • fYear
    2014
  • fDate
    5/1/2014 12:00:00 AM
  • Firstpage
    106
  • Lastpage
    111
  • Abstract
    The adoption and proliferation of Web services lead to an increasing number of Web services emerging on the Internet. Therefore quickly and accurately discovering services that satisfy the needs of service consumers becomes difficult. There is an urgent need to manage Web services effectively. From a holistic and historical perspective, this paper proposes a Web service archive which describes and records the lifecycle of Web services that ever published on the Internet, rather than merely stores service information that are currently available as the conventional service registries do. To build up the Web service archive, our framework collects and integrates a large scale of services scattering all over the Internet, and enriches multiple aspects of service information from WSDL documents and related Web pages. On the basis of the service archive, we analyze the spatial and temporal distribution of archival metrics, QoS measurements, and history records of Web services. Our approach can periodically keep track of Web service changes and service lifecycle. In addition, experiments are conducted using 15372 crawled services in the real world. Our approach provides insights on investigating the state of the art in Web service technologies, finding technology trends, and providing valuable data for future research.
  • Keywords
    "Quality of service","Crawlers","Web pages","Service-oriented architecture","Data mining","Search engines"
  • Publisher
    ieee
  • Conference_Titel
    Service Sciences (ICSS), 2014 International Conference on
  • ISSN
    2165-3828
  • Type

    conf

  • DOI
    10.1109/ICSS.2014.22
  • Filename
    7312299