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Issue No.04 - July-Aug. (2014 vol.29)
pp: 52-60
Gang Pan , Zhejiang University
Li Zhang , Zhejiang University
Zhaohui Wu , Zhejiang University
Shijian Li , Zhejiang University
Laurence Yang , St. Francis Xavier University
Man Lin , St. Francis Xavier University
Yuanchun Shi , Tsinghua University
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.
Service oriented architecture, Semantics, Ambient intelligence, Intelligent systems, Context modeling, Java, Ubiquitous computing,intelligent systems, ubiquitous computing, ambient intelligence, pervasive service, service-oriented architecture, smart environment
Gang Pan, Li Zhang, Zhaohui Wu, Shijian Li, Laurence Yang, Man Lin, Yuanchun Shi, "Pervasive Service Bus: Smart SOA Infrastructure for Ambient Intelligence", IEEE Intelligent Systems, vol.29, no. 4, pp. 52-60, July-Aug. 2014, doi:10.1109/MIS.2012.119
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