Title
MPTO-MT: A multi-period vehicular task offloading method in 5G HetNets
Abstract
Task offloading is one of the important research directions in Internet of Vehicles. Mobile edge computing and 5G heterogeneous network frameworks bring new opportunities for task offloading research. Most research works propose resource scheduling schemes and offloading strategies for task offloading within the same period. However, the allocation of resources for offloading tasks at different periods cannot be planned uniformly. The utilization and release of resources in previous periods affect the scheduling of resource allocations in later periods. To address the task offloading problem at different periods, this paper proposes the MPTO-MT algorithm. Specifically, the algorithm first determines whether the task can be offloaded in time at a certain period according to the number of candidate offloading nodes of the task in this period. Secondly, the algorithm selects the offloading node and the task transmission method. In order to select the appropriate offloading node and transmission method, we introduce the service utility and propose three heuristics of selecting the offloading node. Finally, the algorithm updates the resource information of nodes at the next period based on the utilization and release of node resources at the period, and the service time of the nodes. Comparative experiments with other baseline algorithms show that the proposed MPTO-MT algorithm improves the task completion rate by 4.55%, the timely rate of task completion by 3.57%, and shorter average service time.
Year
DOI
Venue
2022
10.1016/j.sysarc.2022.102712
Journal of Systems Architecture
Keywords
DocType
Volume
Multi-period vehicular task offloading,Mobile edge computing,5G HetNets,Transmission method,Task completion rate,Timely rate of task completion
Journal
131
ISSN
Citations 
PageRank 
1383-7621
0
0.34
References 
Authors
0
7
Name
Order
Citations
PageRank
Rui Zhang100.34
Libing Wu244056.42
Shuqin Cao300.34
Naixue Xiong42413194.61
Jianxin Li544348.67
Dan Wu600.34
Chao Ma700.34