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Gang Pan , Zhejiang University, Hangzhou
Li Zhang , Zhejiang University, Hangzhou
Zhaohui Wu , Zhejiang University , Hangzhou
Shijian Li , Zhejiang University, Hangzhou
Laurence T. Yang , St Francis Xavier University, Antigonish
Man Lin , St. Francis Xavier University, Antigonish
Yuanchun Shi , Tsinghua University , Beijing
Ambient intelligence (AmI) implies intelligence that is all around us. It is to make our everyday environments sensitive, adaptive, and responsive to the presence of people in a transparent manner. There exist several challenges to build an efficient infrastructure for AmI, e.g. interoperation of heterogeneous systems; intelligence for anticipatory user assistance; adaptability to dynamic environments for good user experience; and scalability to more users and spaces. This article proposes a smart SOA (Service Oriented Architecture, an architectural style whose goal is to achieve loose coupling among interacting software agents) framework for AmI systems, called Pervasive Service Bus (PSB), where all the computing activities are modeled as unified pervasive services. We present an on-line planning algorithm actively adapt service flows to both dynamic contexts and user tasks. With a proposed sub-bus-based layout, PSB enables effective access and interaction of distributed services. PSB exploits the scheme of direct link and distributed execution to keep efficient under large-scale service interactions. We have evaluated PSB’s performance with a real smart home.
Gang Pan, Li Zhang, Zhaohui Wu, Shijian Li, Laurence T. Yang, Man Lin, Yuanchun Shi, "Pervasive Service Bus: Smart SOA Infrastructure for Ambient Intelligence", IEEE Intelligent Systems, , no. 1, pp. 1, PrePrints PrePrints, doi:10.1109/MIS.2012.119
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