Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/16557
Title: Dynamic Resource Management of Real-Time Edge Services for Intelligent Vehicular Networks: A Case Study
Authors: Gilly, Katja
Filiposka, Sonja 
Alcaraz Carrasco, Salvador
Mishev, Anastas 
Keywords: Edge computing; Resource management; Intelligent vehicles; 5G mobile communication
Issue Date: 7-Aug-2019
Publisher: Publishing House Technologija
Journal: Elektronika ir Elektrotechnika
Abstract: <jats:p>The Internet of Vehicles requires high bandwidth and low latency services to unleash the potential of fully connected vehicles. Thus, the offloading proposals that successfully manage massive real-time service requests from vehicle nodes are needed. In this paper, we analyse the dynamic resource management for intelligent vehicular networks based on Multi-access Edge Computing architecture services. Using a combination of CloudSim and SUMO simulators, we present a case study of infotainment services in the city centre of Alicante, in Spain, that shows a high degree of optimality both in service allocation and migration when considering dense urban environments.</jats:p>
URI: http://hdl.handle.net/20.500.12188/16557
DOI: 10.5755/j01.eie.25.4.23971
Appears in Collections:Faculty of Computer Science and Engineering: Journal Articles

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