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Dynamic service composition in ubiquitous environment

Published:09 June 2009Publication History

ABSTRACT

Service Component Architecture (SCA) defines how to create components and how to combine those components into complete applications. SCA defines a general approach to doing both of these things at design time of applications. In ubiquitous, we consider dynamic factors such as frequently movement of user or device location and change of service status. SCA does not consider about that, but this specification proposed good solution about service composition. For this reason, we suggested the service composition approach, which is extended of SCA. Our approach supports dynamic service composition, which is considered the dynamic factors of ubiquitous environment. In addition, it reflects the user requirement like that what kind of service to do in what order. It also supports coordination of service when the client can no longer use the service because it is putted off the power or has another problem.

References

  1. Agnel Jimenez Molina, "A template-Based Mechanism for Dynamic Service Composition Based on Context Prediction in Ubicomp Applications", 2007Google ScholarGoogle Scholar
  2. David Chappell, "Introducing SCA", CHAPPELL & ASSOCIATES, 2007Google ScholarGoogle Scholar
  3. OSOA (Open Service Oriented Architecture), http://www.osoa.orgGoogle ScholarGoogle Scholar
  4. Sungrim Kim, "Attention-Based Information Composition for Multicontext-Aware Recommendation in Ubiquitous Computing", 2006Google ScholarGoogle Scholar
  5. Takaaki, "A Support System for Designing Ubiquitous Service Composition Scenarios", ICC 2007Google ScholarGoogle Scholar

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  1. Dynamic service composition in ubiquitous environment

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                          PETRA '09: Proceedings of the 2nd International Conference on PErvasive Technologies Related to Assistive Environments
                          June 2009
                          481 pages
                          ISBN:9781605584096
                          DOI:10.1145/1579114

                          Copyright © 2009 ACM

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                          Association for Computing Machinery

                          New York, NY, United States

                          Publication History

                          • Published: 9 June 2009

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