Dynamic Resource Management of Real-Time Edge Services for Intelligent Vehicular Networks: A Case Study
Journal
Elektronika ir Elektrotechnika
Date Issued
2019-08-07
Author(s)
Gilly, Katja
Alcaraz Carrasco, Salvador
DOI
10.5755/j01.eie.25.4.23971
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>
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