Abstract
Pervasive computing paradigm is based on much more dynamic environment than the existing computing paradigm. Therefore, we need a middleware framework for efficiently integrating the pervasive objects. In this paper we propose an adaptive bridging approach for the interoperability of heterogeneous middleware. Here the objects are classified into hot or cool objects according to the requested frequency reported by the portable interceptors, and the cool spot objects and hot spot objects are assigned dynamic bridge and static bridge, respectively. The proposed approach is evaluated using a test bed comprising of three different platforms – JADE, MICO, and CALM – on nine servers. The experiment reveals that the proposed adaptive bridging approach significantly reduces the response time compared to the case of using only either static bridge or dynamic bridge, especially when the number of activated objects is relatively large.
This research was supported in part by the Ubiquitous Autonomic Computing and Network Project, 21st Century Frontier R&D Program in Korea and the Brain Korea 21 Project in 2005.
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© 2006 Springer-Verlag Berlin Heidelberg
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Ko, H., Youn, H.Y. (2006). Adaptive Bridging with Portable Interceptor for Efficient Integration of Reflective Middleware. In: Ma, J., Jin, H., Yang, L.T., Tsai, J.JP. (eds) Ubiquitous Intelligence and Computing. UIC 2006. Lecture Notes in Computer Science, vol 4159. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11833529_68
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DOI: https://doi.org/10.1007/11833529_68
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