TY - JOUR
T1 - How to Leverage Mobile Vehicles to Balance the Workload in Multi-Access Edge Computing Systems
AU - Deng, Yiqin
AU - Chen, Zhigang
AU - Chen, Xianhao
AU - Deng, Xiaoheng
AU - Fang, Yuguang
PY - 2021/11
Y1 - 2021/11
N2 - In this correspondence, we investigate the joint relay and server selection problem for a novel vehicle-assisted multi-access edge computing (MEC) system, where vehicles on the road relay data from an end device to appropriate MEC servers for computing in a store-carry-forward manner. To harness the stochastic nature of task arrivals, vehicle availability, and resource availability at MEC servers, we design a relaying scheme to minimize the average task latency based on a Markov decision process. Our study shows that our proposed scheme is highly effective in balancing the communications and computing while minimizing the end-to-end latency for task completion. © 2021 IEEE.
AB - In this correspondence, we investigate the joint relay and server selection problem for a novel vehicle-assisted multi-access edge computing (MEC) system, where vehicles on the road relay data from an end device to appropriate MEC servers for computing in a store-carry-forward manner. To harness the stochastic nature of task arrivals, vehicle availability, and resource availability at MEC servers, we design a relaying scheme to minimize the average task latency based on a Markov decision process. Our study shows that our proposed scheme is highly effective in balancing the communications and computing while minimizing the end-to-end latency for task completion. © 2021 IEEE.
KW - latency minimization
KW - Markov decision process (MDP)
KW - Multi-access edge computing (MEC)
KW - relay selection
KW - vehicular networks
UR - http://www.scopus.com/inward/record.url?scp=85117331694&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85117331694&origin=recordpage
UR - https://www.webofscience.com/wos/woscc/full-record/WOS:000720520400098
U2 - 10.1109/TVT.2021.3119189
DO - 10.1109/TVT.2021.3119189
M3 - RGC 21 - Publication in refereed journal
SN - 0018-9545
VL - 70
SP - 12283
EP - 12286
JO - IEEE Transactions on Vehicular Technology
JF - IEEE Transactions on Vehicular Technology
IS - 11
ER -