Computer Systems Science and Engineering, Volume (45), No (2), Year (2023-1) , Pages (2223-2234)

Title : ( Efficient-Cost Task Offloading Scheme in Fog-Internet of Vehicle Networks )

Authors: Alla Abbas Khadir , Seyed Amin Hosseini Seno , Baydaa Fadhil Dhahir , Rahmat Budiarto ,

Citation: BibTeX | EndNote

Abstract

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.

Keywords

RoadSide Parked Vehicles; offloading cost; deadline; budget.
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@article{paperid:1090936,
author = {Alla Abbas Khadir and Hosseini Seno, Seyed Amin and Baydaa Fadhil Dhahir and Rahmat Budiarto},
title = {Efficient-Cost Task Offloading Scheme in Fog-Internet of Vehicle Networks},
journal = {Computer Systems Science and Engineering},
year = {2023},
volume = {45},
number = {2},
month = {January},
issn = {0267-6192},
pages = {2223--2234},
numpages = {11},
keywords = {RoadSide Parked Vehicles; offloading cost; deadline; budget.},
}

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%0 Journal Article
%T Efficient-Cost Task Offloading Scheme in Fog-Internet of Vehicle Networks
%A Alla Abbas Khadir
%A Hosseini Seno, Seyed Amin
%A Baydaa Fadhil Dhahir
%A Rahmat Budiarto
%J Computer Systems Science and Engineering
%@ 0267-6192
%D 2023

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