Abstract
In a mobile environment, it is desirable for mobile applications to adapt their behaviors to the changing context. However, adaptation mechanism may emphasize more on overall system performance, while neglecting the needs of individual. We present a generalized Adaptive Middleware Infrastructure (AMI) to cater for individual needs in a fair manner, while maintaining optimal system performance. Furthermore, due to the vagueness in context nature and uncertainty in context aggregation for adaptation, we propose a Fuzzy-based Service Adaptation Model (FSAM) to achieve generality and improve the effectiveness of service adaptation. By fuzzification of the context and measuring the fitness degree between the current context and the optimal situation, FSAM adopts the most appropriate service. We have evaluated the FSAM inference engine within the middleware AMI by an application Campus Assistant. The performance is analyzed and compared with a conventional threshold-based approach.
This project is supported by RGC research grants under Project Ref. No. PolyU 5200/04E and also partially supported by Hong Kong Polytechnic University under the ICRG grant G-YD63.
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Cheung, R.: An Adaptive Middleware Infrastructure for Mobile Computing. In: Proceedings of 14th WWW 2005 Conference, pp. 996–997. ACM Press, New York (2005)
Cao, J., Xing, N., Chan, A.T.S., Feng, Y., Jin, B.: Service Adaptation Using Fuzzy Theory in Context-aware Mobile Computing Middleware. In: Proceedings of the 11th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, pp. 496–501 (2005)
Cheung, R.: An Adaptive Middleware Infrastructure Incorporating Fuzzy Logic for Mobile Computing. In: Proceedings of the International Conference on Next Generation Web Services Practices, pp. 449–451. IEEE Computer Society Press, Korea (2005)
Capra, L., Emmerich, W., Mascolo, C.: CARISMA: context-aware reflective middleware system for mobile applications. IEEE Transactions on Software Engineering 29(10), 929–945 (2003)
Kwan, V.W.-M., Lau, F.C.-M., Wang, C.-L.: Functionality adaptation: a context-aware service code adaptation for pervasive computing environments. In: Proceedings of IEEE/WIC International Conference on Web Intelligence, October 2003, pp. 358–364 (2003)
Koliver, C., Farines, J.-M., Nahrstedt, K.: QoS Adaptation Based on Fuzzy Theory. In: Soft Computing for Communications, pp. 245–267. Springer, Heidelberg (2004)
Li, B., Nahrstedt, K.: A control-based middleware framework for quality-of-service adaptations. IEEE Journal on Selected Areas in Communications 17(9), 1632–1650 (1999)
Constantin, A.: Fuzzy Logic and Neuro-Fuzzy Applications Explained. Prentice-Hall, Englewood Cliffs (1995)
Capra, L.: Mobile Computing Middleware for Context-Aware Applications. In: Proceedings of the 24th International Conference on Software Engineering, May 19-25, 2002, pp. 723–724 (2002)
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Cheung, R., Cao, J., Yao, G., Chan, A. (2006). A Fuzzy-Based Service Adaptation Middleware for Context-Aware Computing. In: Sha, E., Han, SK., Xu, CZ., Kim, MH., Yang, L.T., Xiao, B. (eds) Embedded and Ubiquitous Computing. EUC 2006. Lecture Notes in Computer Science, vol 4096. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11802167_59
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DOI: https://doi.org/10.1007/11802167_59
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