• DocumentCode
    2251943
  • Title

    Evaluation of Quality Measure Factors for the Middleware Based Context-Aware Applications

  • Author

    Zheng, Di ; Wang, Jun ; Kerong, Ben

  • Author_Institution
    Dept. of Comput. Sci., Naval Univ. of Eng., Wuhan, China
  • fYear
    2012
  • fDate
    May 30 2012-June 1 2012
  • Firstpage
    403
  • Lastpage
    408
  • Abstract
    With the rapid development of the information technology, it is inevitable that the distributed mobile computing will evolve to the pervasive computing gradually whose final goal is fusing the information space composed of computers with the physical space in which the people are working and living in. To achieve this goal, one of the problems is how to continuously monitor/capture and interpret the environment related information efficiently to assure high context awareness. One of the attentions has been paid to the research of the context-aware pervasive applications is the quality measure for the context. However, existing research just take the Quality of Context (QoC) into account in several aspects. Therefore, we have analyzed all the possible factors that affecting the quality of the context. Furthermore, based on our context-aware framework supporting QoC management, we can use these factors to refinery raw context, discard duplicate and inconsistent context so as to protect and provide QoS-enriched context information of users to context-aware applications and services.
  • Keywords
    middleware; mobile computing; quality management; QoC management; QoS-enriched context information; context-aware pervasive applications; context-aware services; distributed mobile computing; information space; information technology; middleware-based context-aware applications; pervasive computing; physical space; quality measure factors; quality of context; Accuracy; Cognition; Context; Context-aware services; Equations; Reliability; Sensors; Context-aware; Pervasive; QoC; middleware;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Science (ICIS), 2012 IEEE/ACIS 11th International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4673-1536-4
  • Type

    conf

  • DOI
    10.1109/ICIS.2012.46
  • Filename
    6211128