• DocumentCode
    2024049
  • Title

    VieCAR - Enabling Self-adaptive Collaboration Services

  • Author

    Schall, Daniel ; Dorn, Christoph ; Dustdar, Schahram ; Dadduzio, Ignazio

  • Author_Institution
    Distrib. Syst. Group, Vienna Univ. of Technol., Vienna, Austria
  • fYear
    2008
  • fDate
    3-5 Sept. 2008
  • Firstpage
    285
  • Lastpage
    292
  • Abstract
    Novel forms of collaboration increasingly distribute control among e-workers, thereby allowing agile and autonomous collaboration. However, this requires a novel blend of infrastructure and algorithms for self-adaptation of collaboration services. We present VieCAR (Vienna Collaborative Activity and Resource Management Framework), a framework that addresses the requirements of new collaborative service-oriented environments. Self-adaptive collaboration services depend on the user¿s context. VieCAR combines service-oriented architectures with activity-centric computing enabling people to interact and collaborate regardless of their location and across organizational boundaries. Based on VieCAR¿s activity model, we present a ranking algorithm determining the relevant input for service adaptation.
  • Keywords
    groupware; self-adjusting systems; software architecture; VieCAR activity model; VieCAR-enabling self-adaptive collaboration services; Vienna collaborative activity; activity centric computing; agile collaboration; autonomous collaboration; collaborative service-oriented environment; ranking algorithm; resource management framework; service adaptation; service-oriented architecture; Collaboration; Collaborative software; Collaborative work; Context; Context-aware services; Environmental management; Middleware; Resource management; Software engineering; Web services; agile collaboration; context-aware services; ranking; service adaptation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering and Advanced Applications, 2008. SEAA '08. 34th Euromicro Conference
  • Conference_Location
    Parma
  • ISSN
    1089-6503
  • Print_ISBN
    978-0-7695-3276-9
  • Type

    conf

  • DOI
    10.1109/SEAA.2008.25
  • Filename
    4725733