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Virtual Machine Migration in Vehicular Cloud for Service Continuity

by Fuad Nagi Shahrah, Fekri Mohammed Ahmed Abduljalil
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 175 - Number 20
Year of Publication: 2020
Authors: Fuad Nagi Shahrah, Fekri Mohammed Ahmed Abduljalil
10.5120/ijca2020920738

Fuad Nagi Shahrah, Fekri Mohammed Ahmed Abduljalil . Virtual Machine Migration in Vehicular Cloud for Service Continuity. International Journal of Computer Applications. 175, 20 ( Sep 2020), 33-43. DOI=10.5120/ijca2020920738

@article{ 10.5120/ijca2020920738,
author = { Fuad Nagi Shahrah, Fekri Mohammed Ahmed Abduljalil },
title = { Virtual Machine Migration in Vehicular Cloud for Service Continuity },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2020 },
volume = { 175 },
number = { 20 },
month = { Sep },
year = { 2020 },
issn = { 0975-8887 },
pages = { 33-43 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume175/number20/31571-2020920738/ },
doi = { 10.5120/ijca2020920738 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:25:36.406498+05:30
%A Fuad Nagi Shahrah
%A Fekri Mohammed Ahmed Abduljalil
%T Virtual Machine Migration in Vehicular Cloud for Service Continuity
%J International Journal of Computer Applications
%@ 0975-8887
%V 175
%N 20
%P 33-43
%D 2020
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Vehicular Cloud (VC) is an emerging technology where multiple vehicles form a cloud to share their abundant resources and carry out a heavy job in a cooperative manner. By using VC, each vehicle can run several VC applications which require heavy resources by creating virtual devices in vehicles during the execution of services by vehicles in a geographical zone chosen by the user relying on a Service-Level Agreement (SLA). The vehicle may be out of the service zone and that may cause a disruption in service and loss of data what makes the provider need to connect to another vehicle which gets wasted time. In this paper, the previous proposal which presents migrate Virtual Machines (VM) from the vehicle to any node in the service zone is reviewed. Then, a vehicle selection method based on the vehicle's remaining time in the service zone is proposed. After that, this proposal is implemented in Python, a simulation program. The experiment results showed that the process of selection and VM migrate avoids data loss during service interruption. It also avoids wasting time when re-selecting a vehicle and establishing a connection with another vehicle.

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Index Terms

Computer Science
Information Sciences

Keywords

Virtual machine Virtual machine migration Vehicular cloud Cloud computing Total migration time Vehicular ad hoc networks Cloud zone.

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