Research Article
A Cloudlet-Based Proximal Discovery Service for Machine-to-Machine Applications
@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
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.
