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

Authors

  • Katja Gilly
  • Sonja Filiposka
  • Salvador Alcaraz Carrasco
  • Anastas Mishev

DOI:

https://doi.org/10.5755/j01.eie.25.4.23971

Keywords:

Edge computing, Resource management, Intelligent vehicles, 5G mobile communication

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.

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Published

2019-08-07

How to Cite

Gilly, K. ., Filiposka, S. ., Alcaraz Carrasco, S. ., & Mishev, A. . (2019). Dynamic Resource Management of Real-Time Edge Services for Intelligent Vehicular Networks: A Case Study. Elektronika Ir Elektrotechnika, 25(4), 58-61. https://doi.org/10.5755/j01.eie.25.4.23971

Issue

Section

SYSTEM ENGINEERING, COMPUTER TECHNOLOGY