• DocumentCode
    141771
  • Title

    Research of Context-Aware Component Adaptation Model in Pervasive Environment

  • Author

    Di Zheng ; Jun Wang ; Ben Kerong

  • Author_Institution
    Dept. of Comput. Sci., Naval Univ. of Eng., Wuhan, China
  • fYear
    2014
  • fDate
    24-27 Aug. 2014
  • Firstpage
    496
  • Lastpage
    501
  • Abstract
    With rapid development of computer technology, adaptive objects have been changed to distributed components and services. Furthermore, though distributed applications have been larger and more complex, all the system can be regarded as the connection of different components by the rules from the point of software architecture. In pervasive environment, there are lots of computing and communication devices which connect the thinking and the activities. The applications in this kind of environment are usually context-aware and can provide more flexible services based on the affection of the contexts. Traditional component-based middleware are almost lack of support for pervasive computing. So we extend traditional component adaptation methods and put forward a context-aware component adaptation model CACAM as well as according algorithm named CACA. Results show this model can support the context-aware component adaptation efficiently.
  • Keywords
    middleware; object-oriented programming; software architecture; ubiquitous computing; CACAM; adaptive objects; component adaptation methods; component-based middleware; computer technology; context-aware component adaptation model; distributed components; distributed services; pervasive computing; software architecture; Adaptation models; Adaptive arrays; Containers; Context; Middleware; Pervasive computing; Reflection; Adaptation; Context-aware; Pervasive;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Dependable, Autonomic and Secure Computing (DASC), 2014 IEEE 12th International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4799-5078-2
  • Type

    conf

  • DOI
    10.1109/DASC.2014.95
  • Filename
    6945740