DOI码：10.1109/LCOMM.2019.2920832

发表刊物：IEEE Communications Letters

摘要：Parked vehicle edge computing (PVEC) is proposed to enhance the resource capacity of vehicular networks by utilizing the resources from parked vehicles (PVs). Toward the flexible and fine-grained resource usage, we integrate the container-based virtualization with PVEC for ensuring the task execution in PVs with fast response, increased scalability, and high efficiency. Then we study a social welfare maximization problem to maximize the overall utilities of users and PVs in computation offloading. The problem is decomposed into two subproblems for determining container deployment and computing resource allocation, respectively. Finally, numerical results are provided to demonstrate the effectiveness and efficiency of our scheme.

第一作者：X. Huang, P. Li, R. Yu

论文类型：期刊论文

卷号：23

期号：8

ISSN号：1558-2558

是否译文：否

发表时间：2019-06-04