Edge Intelligence for Multi-Dimensional Resource Management in Aerial-Assisted Vehicular Networks

2021 ◽  
Vol 28 (5) ◽  
pp. 59-65
Author(s):  
Haixia Peng ◽  
Huaqing Wu ◽  
Xuemin Sherman Shen
Keyword(s):  
Resource Management ◽  
Vehicular Networks

Cooperative Resource Management in Cloud-Enabled Vehicular Networks

2015 ◽  
Vol 62 (12) ◽  
pp. 7938-7951 ◽  
Author(s):  
Rong Yu ◽  
Xumin Huang ◽  
Jiawen Kang ◽  
Jiefei Ding ◽  
Sabita Maharjan ◽  
...  
Keyword(s):  
Resource Management ◽  
Vehicular Networks ◽  
Cooperative Resource Management

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

2019 ◽  
Vol 25 (4) ◽  
pp. 58-61
Author(s):  
Katja Gilly ◽  
Sonja Filiposka ◽  
Salvador Alcaraz Carrasco ◽  
Anastas Mishev
Keyword(s):  
Resource Management ◽  
Real Time ◽  
Vehicular Networks ◽  
Urban Environments ◽  
City Centre ◽  
Time Service ◽  
Dynamic Resource Management ◽  
Dynamic Resource ◽  
Multi Access

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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