Efficient-Cost Task Offloading Scheme in Fog-Internet of Vehicle Networks

被引：3

作者：

Khadir A.A. ^{[1
]}

Seno S.A.H. ^{[1
,2
]}

Dhahir B.F. ^{[2
,3
]}

Budiarto R. ^{[4
]}

机构：

[1] Department of Electrical Power Techniques Engineering, Al-Hussain University College, Karbala

[2] Department of Computer Engineering, Ferdowsi University of Mashhad, Mashhad

[3] Department of Computer Science, Thi-Qar University, Thi-Qar

[4] Department of Computer Science, Mercu Buana University, Jakarta

来源：

Computer Systems Science and Engineering | 2023年 / 45卷 / 02期

关键词：

budget; deadline; offloading cost; RoadSide parked vehicles;

D O I：

10.32604/csse.2023.032316

中图分类号：

学科分类号：

摘要：

Fog computing became a traditional OffLad Destination (OLD) to compute the offloaded tasks of the Internet of Vehicles (IoV). Nevertheless, the limited computing resources of the fog node leads to re-offload these tasks to the neighboring fog nodes or the cloud. Thus, the IoV will incur additional offloading costs. In this paper, we propose a new offloading scheme by utilizing RoadSide Parked Vehicles (RSPV) as an alternative OLD for IoV. The idle computing resources of the RSPVs can compute large tasks with low offloading costs compared with fog nodes and the cloud. Finally, a performance evaluation of the proposed scheme has been presented and discussed with other benchmark offloading schemes. © 2023 CRL Publishing. All rights reserved.

引用

页码：2223 / 2234

页数：11

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