Abstract
Very large scale context aware systems are becoming a reality with the emerging paradigms such as machine-to-machine communications, crowdsensing, etc. Scalable data distribution is a critical requirement in such large scale systems for optimal usage of computing and communication resources. In this paper, we present a novel theoretical model for middleware design for such large-scale context aware systems that distributes only relevant data based on its effective utility. We also present extensive experimental results to validate the efficacy of our proposed model.
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© 2014 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Chattopadhyay, S., Banerjee, A., Banerjee, N. (2014). A Data Distribution Model for Large-Scale Context Aware Systems. In: Stojmenovic, I., Cheng, Z., Guo, S. (eds) Mobile and Ubiquitous Systems: Computing, Networking, and Services. MobiQuitous 2013. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 131. Springer, Cham. https://doi.org/10.1007/978-3-319-11569-6_48
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DOI: https://doi.org/10.1007/978-3-319-11569-6_48
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