Abstract | ||
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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. |
Year | DOI | Venue |
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2014 | 10.1109/MIS.2012.119 | IEEE Intelligent Systems |
Keywords | Field | DocType |
ambient intelligence,user interfaces,home automation,pervasive service bus,ubiquitous computing,service-oriented architecture,user assistance,smart home testbed,intelligent systems,smart soa infrastructure,user experience,smart environment,pervasive service,ami,online planning algorithm,psb,java,semantics,service oriented architecture,protocols | User experience design,Smart environment,User assistance,World Wide Web,Computer science,Ambient intelligence,Interoperation,Knowledge management,Home automation,Human–computer interaction,Ubiquitous computing,Service-oriented architecture | Journal |
Volume | Issue | ISSN |
29 | 4 | 1541-1672 |
Citations | PageRank | References |
4 | 0.42 | 12 |
Authors | ||
7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Gang Pan | 1 | 1501 | 123.57 |
Li Zhang | 2 | 141 | 20.37 |
Zhaohui Wu | 3 | 3121 | 246.32 |
Shijian Li | 4 | 1155 | 69.34 |
Laurence T. Yang | 5 | 6870 | 682.61 |
Man Lin | 6 | 20 | 2.08 |
Yuanchun Shi | 7 | 1005 | 135.34 |