Energy Efficient and Delay Aware Vehicular Edge Cloud

Vehicular Edge Clouds (VECs) is a new distributed processing paradigm that exploits the revolution in the processing capabilities of vehicles to offer energy efficient services and improved QoS. In this paper we tackle the problem of processing allocation in a cloud- fog- VEC architecture by develop...

Full description

Saved in:
Bibliographic Details
Published in2020 22nd International Conference on Transparent Optical Networks (ICTON) pp. 1 - 4
Main Authors Alahmadi, Amal A., El-Gorashi, T. E. H., Elmirghani, Jaafar M. H.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2020
Subjects
Cloud computing
Delays
Energy efficiency
power consumption
Power demand
processing allocation
Propagation delay
queuing delay
Resource management
Task analysis
vehicular edge computing
Online AccessGet full text

Cover

More Information
Summary:Vehicular Edge Clouds (VECs) is a new distributed processing paradigm that exploits the revolution in the processing capabilities of vehicles to offer energy efficient services and improved QoS. In this paper we tackle the problem of processing allocation in a cloud- fog- VEC architecture by developing a joint optimization Mixed Integer Linear Programming (MILP) model to minimize power consumption, propagation delay, and queuing delay. The results show that while VEC processing can reduce the power consumption and propagation delay, VEC processing can increase the queuing delay because of the low data rate connectivity between the vehicles and the data source nodes.
ISSN:2161-2064
DOI:10.1109/ICTON51198.2020.9203156