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A Context-Aware Method for Service Composition in Pervasive Computing Environments

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Advances in Computer Science, Environment, Ecoinformatics, and Education (CSEE 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 218))

Abstract

In pervasive computing, it is the physical environment that provides medium to satisfy user requirements. A context-aware approach of service composition in pervasive computing environments is proposed. Services are represented by autonomous mobile agents, and they establish relationship network based on affinity to provide service composition. Affinity adjustment depends on three factors, namely, the matching strength of mobile agents, the service quality score, and the trust. In this way, the method completes a series of work from composition to management autonomously. It adapts well to the changes of dynamic environments.

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References

  1. Maric, D.M., Meier, P.F., Estreicher, S.K.: Mater. Sci. Forum 83-87, 119 (1992)

    Article  Google Scholar 

  2. Grady, M.J., Hare, M.P.: Mobile devices and intelligent agents—towards a new generation of applications and services. Information Sciences 171(4), 335–353 (2009)

    Google Scholar 

  3. Zhuge, H.: The Future interconnection environment. IEEE Computer 38(4), 27–33 (2005)

    Article  Google Scholar 

  4. Jennings, N.R.: An agent-based approach for building complex software systems. Communications of the ACM 44(4), 35–41 (2001)

    Article  Google Scholar 

  5. Jerne, N.K.: Towards a network theory of the immune system. Annual Immunology 125C, 373–389 (1974)

    Google Scholar 

  6. Ding, Y.S., Ren, L.H.: Design of a bio-network architecture based on immune emergent computation. Control and Decision 18(2), 185–189 (2003) (in Chinese)

    Google Scholar 

  7. Gao, L., Ding, Y.S.: A novel ecological network-based computation platform as grid middleware system. Int. J. Intelligent Systems 19(10), 859–884 (2004)

    Article  Google Scholar 

  8. Gao, L., Ding, Y.S., Ying, H.: An adaptive social network-inspired approach to resource discovery for the complex grid systems. International Journal of Intelligent Systems 35, 347–360 (2006)

    MATH  Google Scholar 

  9. Itao, T., Tanaka, S., Suda, T.: A framework for adaptive Unicom applications based on the jack-in-the-net architecture. Wireless Network 10, 287–299 (2004)

    Article  Google Scholar 

  10. Cardoso, J., Sheth, A.: Semantic e-workflow composition. Intelligent Information Systems 21(3), 191–225 (2003)

    Article  Google Scholar 

  11. Zeng, L.Z., Benatallah, B., Ngu, A.H.H., Dumas, M., Kalagnanam, J., Chang, H.: QoS-aware middleware for Service s composition. IEEE Transactions on Software Engineering 30(5), 311–327 (2004)

    Article  Google Scholar 

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© 2011 Springer-Verlag Berlin Heidelberg

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Gu, C., Zheng, Y. (2011). A Context-Aware Method for Service Composition in Pervasive Computing Environments. In: Lin, S., Huang, X. (eds) Advances in Computer Science, Environment, Ecoinformatics, and Education. CSEE 2011. Communications in Computer and Information Science, vol 218. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23357-9_22

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  • DOI: https://doi.org/10.1007/978-3-642-23357-9_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23356-2

  • Online ISBN: 978-3-642-23357-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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