• DocumentCode
    3057739
  • Title

    An Autonomic Service Discovery Mechanism to Support Pervasive Device Accessing Semantic Grid

  • Author

    Guan, Tao ; Zaluska, Ed ; De Roure, D.

  • Author_Institution
    Univ. of Southampton, Southampton
  • fYear
    2007
  • fDate
    11-15 June 2007
  • Firstpage
    8
  • Lastpage
    8
  • Abstract
    An important challenge of integrating pervasive devices into Grid environment to enhance pervasive device capabilities is that pervasive devices need to locate, find, select and invoke the appropriate Grid services in an autonomic and flexible way. However, at this stage, both Grid service description and discovery standards are not very sophisticated. Semantic web technology benefits the concept of Grid services on pervasive devices by adding machine- processable explicit knowledge into the interaction between pervasive devices and Grid services. In this paper, we have presented a semantic-based Grid service discovery mechanism to support pervasive device accessing Grid services. In order to protect personal privacy in the pervasive computing environment, a service discovery restricting mechanism is also built to ensure the service can automatically be hidden for unauthorized users.
  • Keywords
    grid computing; semantic Web; ubiquitous computing; autonomic service discovery; grid service description; machine-processable explicit knowledge; pervasive computing environment; pervasive devices; semantic Web technology; semantic-based grid service discovery mechanism; Computer science; Information security; Mobile handsets; Ontologies; Personal digital assistants; Pervasive computing; Privacy; Protection; Semantic Web; Ubiquitous computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Autonomic Computing, 2007. ICAC '07. Fourth International Conference on
  • Conference_Location
    Jacksonville, FL
  • Print_ISBN
    0-7695-2779-5
  • Electronic_ISBN
    0-7695-2779-5
  • Type

    conf

  • DOI
    10.1109/ICAC.2007.5
  • Filename
    4273102