TY - GEN
T1 - Energy efficient and delay aware vehicular edge cloud
AU - Alahmadi, Amal A.
AU - El-Gorashi, T. E.H.
AU - Elmirghani, Jaafar M.H.
N1 - Funding Information:
The authors would like to acknowledge funding from the Engineering and Physical Sciences Research Council (EPSRC), through INTERNET (EP/H040536/1), STAR (EP/K016873/1) and TOWS (EP/S016570/1) projects. All data are provided in full in the results section of this paper.
Publisher Copyright:
© 2020 IEEE.
PY - 2020/7
Y1 - 2020/7
N2 - 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.
AB - 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.
KW - Power consumption
KW - Processing allocation
KW - Propagation delay
KW - Queuing delay
KW - Vehicular edge computing
UR - http://www.scopus.com/inward/record.url?scp=85092540564&partnerID=8YFLogxK
UR - https://icton2020.fbk.eu/home
U2 - 10.1109/ICTON51198.2020.9203156
DO - 10.1109/ICTON51198.2020.9203156
M3 - Conference contribution
AN - SCOPUS:85092540564
SN - 9781728184241
T3 - International Conference on Transparent Optical Networks
SP - 1
EP - 5
BT - 2020 22nd International Conference on Transparent Optical Networks, ICTON 2020
A2 - Prudenzano, Francesco
A2 - Cojocaru, Crina
A2 - Urban, Patryk
A2 - Marciniak, Marian
PB - IEEE, Institute of Electrical and Electronics Engineers
CY - United States
T2 - 22nd International Conference on Transparent Optical Networks, ICTON 2020
Y2 - 19 July 2020 through 23 July 2020
ER -