• DocumentCode
    1763551
  • Title

    Pervasive Service Bus: Smart SOA Infrastructure for Ambient Intelligence

  • Author

    Gang Pan ; Li Zhang ; Zhaohui Wu ; Shijian Li ; Yang, Lei ; Man Lin ; Yuanchun Shi

  • Author_Institution
    Zhejiang Univ., Hangzhou, China
  • Volume
    29
  • Issue
    4
  • fYear
    2014
  • fDate
    July-Aug. 2014
  • Firstpage
    52
  • Lastpage
    60
  • Abstract
    Ambient intelligence (AmI) aims to make our everyday environments intelligent--that is, sensitive, adaptive, and responsive to the presence of people--in a transparent manner. Several challenges exist to building an efficient infrastructure for AmI, including interoperation of heterogeneous systems, intelligence for anticipatory user assistance, adaptability to dynamic environments for good user experience, and scalability to additional users and spaces. Here, the authors propose Pervasive Service Bus (PSB), a smart service-oriented architecture (SOA) framework for AmI spaces that models all computing activities as unified pervasive services. They present an online planning algorithm to adapt service flows to contexts and user tasks. PSB employs a sub-bus-based layout to maintain efficiency in large-scale service interactions. They also discuss their results in evaluating PSB´s performance in a Smart Home testbed.
  • Keywords
    ambient intelligence; home automation; service-oriented architecture; user interfaces; AmI; PSB; Smart Home testbed; ambient intelligence; online planning algorithm; pervasive service bus; service-oriented architecture; smart SOA infrastructure; user assistance; user experience; Ambient intelligence; Context modeling; Intelligent systems; Java; Semantics; Service oriented architecture; Ubiquitous computing; ambient intelligence; intelligent systems; pervasive service; service-oriented architecture; smart environment; ubiquitous computing;
  • fLanguage
    English
  • Journal_Title
    Intelligent Systems, IEEE
  • Publisher
    ieee
  • ISSN
    1541-1672
  • Type

    jour

  • DOI
    10.1109/MIS.2012.119
  • Filename
    6389672