Mobile Computing, Applications, and Services. 5th International Conference, MobiCASE 2013, Paris, France, November 7-8, 2013, Revised Selected Papers

Research Article

A Cloudlet-Based Proximal Discovery Service for Machine-to-Machine Applications

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  • @INPROCEEDINGS{10.1007/978-3-319-05452-0_16,
        author={Jonas Michel and Christine Julien},
        title={A Cloudlet-Based Proximal Discovery Service for Machine-to-Machine Applications},
        proceedings={Mobile Computing, Applications, and Services. 5th International Conference, MobiCASE 2013, Paris, France, November 7-8, 2013, Revised Selected Papers},
        proceedings_a={MOBICASE},
        year={2014},
        month={6},
        keywords={location-based discovery pervasive computing},
        doi={10.1007/978-3-319-05452-0_16}
    }
    
  • Jonas Michel
    Christine Julien
    Year: 2014
    A Cloudlet-Based Proximal Discovery Service for Machine-to-Machine Applications
    MOBICASE
    Springer
    DOI: 10.1007/978-3-319-05452-0_16
Jonas Michel1,*, Christine Julien1,*
  • 1: The University of Texas at Austin
*Contact email: jonasrmichel@mail.utexas.edu, c.julien@mail.utexas.edu

Abstract

Many of today’s applications attempt to connect mobile users with resources available in their immediate surroundings. Existing approaches for discovering available resources are either , providing a single point of lookup somewhere in the cloud or , requiring mobile devices to directly connect to other nearby devices. In this paper, we explore an approach based on , marrying these two approaches to reflect both the proximity requirements of the applications and the dynamic nature of the resources. We present the design and implementation of a cloudlet-based proximal discovery service, solving key technical challenges along the way. We then use real world data traces to demonstrate, evaluate, and benchmark our service and compare it to a completely centralized approach. We find that, in supporting highly localized queries, our service outperforms the centralized approach without significantly affecting the quality of the discovery results.