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

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

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 man...

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Bibliographic Details
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
Description
Summary: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.
ISSN:1392-1215
2029-5731

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