A Data Distribution Model for Large-Scale Context Aware Systems

Soumi Chattopadhyay; Ansuman Banerjee; Nilanjan Banerjee

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.

Keywords: Context-aware computing Data distribution model

Published: 2014-12-10

: http://dx.doi.org/10.1007/978-3-319-11569-6_48