Dynamic Resource Management of Real-Time Edge Services for Intelligent Vehicular Networks: A Case Study

• Main Authors: Katja Gilly, Sonja Filiposka, Salvador Alcaraz Carrasco, Anastas Mishev
• Format: Article
• Language: English
• Published: Kaunas University of Technology 2019-08-01
• Series: Elektronika ir Elektrotechnika
• Subjects: edge computing; resource management; intelligent vehicles; 5g mobile communication
• Online Access: http://eejournal.ktu.lt/index.php/elt/article/view/23971

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.