Subject: Edge computing; Resource management; Intelligent vehicles; 5G mobile communication
Year: 2019
Type: Journal Article
Title: Dynamic Resource Management of Real-Time Edge Services for Intelligent Vehicular Networks: A Case Study
Author: Gilly, Katja
Author: Filiposka, Sonja
Author: Alcaraz Carrasco, Salvador
Author: Mishev, Anastas
Abstract: 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.
Publisher: Publishing House Technologija
Relation: Elektronika ir Elektrotechnika
Identifier: oai:repository.ukim.mk:20.500.12188/16557
Identifier: http://hdl.handle.net/20.500.12188/16557Identifier: 10.5755/j01.eie.25.4.23971
Identifier: http://eejournal.ktu.lt/index.php/elt/article/download/23971/12709Identifier: http://eejournal.ktu.lt/index.php/elt/article/download/23971/12709Identifier: 25
Identifier: 4
