Research Article
A Data Distribution Model for Large-Scale Context Aware Systems
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@INPROCEEDINGS{10.1007/978-3-319-11569-6_48, author={Soumi Chattopadhyay and Ansuman Banerjee and Nilanjan Banerjee}, title={A Data Distribution Model for Large-Scale Context Aware Systems}, proceedings={Mobile and Ubiquitous Systems: Computing, Networking, and Services. 10th International Conference, MOBIQUITOUS 2013, Tokyo, Japan, December 2-4, 2013, Revised Selected Papers}, proceedings_a={MOBIQUITOUS}, year={2014}, month={12}, keywords={Context-aware computing Data distribution model}, doi={10.1007/978-3-319-11569-6_48} }- Soumi Chattopadhyay
Ansuman Banerjee
Nilanjan Banerjee
Year: 2014
A Data Distribution Model for Large-Scale Context Aware Systems
MOBIQUITOUS
Springer
DOI: 10.1007/978-3-319-11569-6_48
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 . We also present extensive experimental results to validate the efficacy of our proposed model.
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