Mobile and Ubiquitous Systems: Computing, Networking, and Services. 10th International Conference, MOBIQUITOUS 2013, Tokyo, Japan, December 2-4, 2013, Revised Selected Papers

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
Soumi Chattopadhyay1,*, Ansuman Banerjee1,*, Nilanjan Banerjee2,*
  • 1: Indian Statistical Institute
  • 2: IBM Research - India
*Contact email: mtc1203@isical.ac.in, ansuman@isical.ac.in, nilanjba@in.ibm.com

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.