• DocumentCode
    3509375
  • Title

    SOV: Service Oriented Virtualization Model for Medical Image Grid

  • Author

    Sun, Aobing ; Jin, Hai ; Zhang, Qin ; Zheng, Ran

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Huazhong Univ. of Sci. & Technol., Wuhan
  • fYear
    2008
  • fDate
    21-23 Oct. 2008
  • Firstpage
    119
  • Lastpage
    125
  • Abstract
    The heterogeneity, distribution and dynamicity of web services hamper WSRF (Web service resource framework) of grid to exert its excellences in resource integrations. In this paper, we propose our SOV (service orient virtualization) model for medical image grid (MedImGrid), which creates a virtual middle layer for grid to simplify the transformation from users´ business aims to executable web-service instances. The layer adopts semantic based cross clustering means to support approximate optimal service selection from WSS (Web service set) to break through the hard-encoded mode of web-service based applications. It provides service-independent composition mechanism and can adjust a service composition path even during runtime. SOV utilizes the web services as the joint-point of grid, semantic and virtualization technologies so as to conceal the heterogeneities of low-level resources and surpass the limits of tightly-coupled mode to service composition within grid environment.
  • Keywords
    Web services; grid computing; medical image processing; pattern clustering; virtual reality; Web service resource framework; Web service set; Web services hamper; cross clustering; medical image grid; service oriented virtualization; Application virtualization; Biomedical imaging; Conferences; Distributed computing; Logic programming; Resource virtualization; Semantic Web; Service oriented architecture; Technology management; Web services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Future Trends of Distributed Computing Systems, 2008. FTDCS '08. 12th IEEE International Workshop on
  • Conference_Location
    Kunming
  • ISSN
    1071-0485
  • Print_ISBN
    978-0-7695-3377-3
  • Type

    conf

  • DOI
    10.1109/FTDCS.2008.30
  • Filename
    4683124