TY - GEN
T1 - Computation Offloading with Reliability Guarantee in Vehicular Edge Computing Systems
AU - He, Zhongjie
AU - Shan, Hangguan
AU - Bi, Yuanguo
AU - Xiang, Zhiyu
AU - Su, Zhou
AU - Wu, Weihua
AU - Luan, Tom Hao
AU - Wang, Bin
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/11
Y1 - 2020/11
N2 - This paper investigates the reliable computation offloading in vehicular edge computing (VEC) systems. Compared with the traditional task replication method in which task replicas are typically assigned to multiple service vehicles at the same time, in our work, a task vehicle allocates the computation tasks and communication resources to its neighboring service vehicles through the vehicle-to-vehicle (V2V) links, and avoids the degradation of delay and computation efficiency. Specifically, an optimization problem is formulated to minimize the task completion delay and ensure offloading reliability. Then, an algorithm based on the penalty and the concave-convex procedure (CCCP) method is proposed to effectively solve the formulated optimization problem. The simulation results show that the task completion delay of the proposed algorithm is only 30% of that in the traditional task replication method.
AB - This paper investigates the reliable computation offloading in vehicular edge computing (VEC) systems. Compared with the traditional task replication method in which task replicas are typically assigned to multiple service vehicles at the same time, in our work, a task vehicle allocates the computation tasks and communication resources to its neighboring service vehicles through the vehicle-to-vehicle (V2V) links, and avoids the degradation of delay and computation efficiency. Specifically, an optimization problem is formulated to minimize the task completion delay and ensure offloading reliability. Then, an algorithm based on the penalty and the concave-convex procedure (CCCP) method is proposed to effectively solve the formulated optimization problem. The simulation results show that the task completion delay of the proposed algorithm is only 30% of that in the traditional task replication method.
UR - https://www.scopus.com/pages/publications/85101346204
U2 - 10.1109/VTC2020-Fall49728.2020.9348663
DO - 10.1109/VTC2020-Fall49728.2020.9348663
M3 - 会议稿件
AN - SCOPUS:85101346204
T3 - IEEE Vehicular Technology Conference
BT - 2020 IEEE 92nd Vehicular Technology Conference, VTC 2020-Fall - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 92nd IEEE Vehicular Technology Conference, VTC 2020-Fall
Y2 - 18 November 2020
ER -