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Optimization of Tasks in Mobile Cloud Computing

by Neha Gupta, Parminder Singh, Manveen Kaur
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 107 - Number 4
Year of Publication: 2014
Authors: Neha Gupta, Parminder Singh, Manveen Kaur
10.5120/18736-9978

Neha Gupta, Parminder Singh, Manveen Kaur . Optimization of Tasks in Mobile Cloud Computing. International Journal of Computer Applications. 107, 4 ( December 2014), 1-4. DOI=10.5120/18736-9978

@article{ 10.5120/18736-9978,
author = { Neha Gupta, Parminder Singh, Manveen Kaur },
title = { Optimization of Tasks in Mobile Cloud Computing },
journal = { International Journal of Computer Applications },
issue_date = { December 2014 },
volume = { 107 },
number = { 4 },
month = { December },
year = { 2014 },
issn = { 0975-8887 },
pages = { 1-4 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume107/number4/18736-9978/ },
doi = { 10.5120/18736-9978 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:40:08.934064+05:30
%A Neha Gupta
%A Parminder Singh
%A Manveen Kaur
%T Optimization of Tasks in Mobile Cloud Computing
%J International Journal of Computer Applications
%@ 0975-8887
%V 107
%N 4
%P 1-4
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Mobile cloud computing is a new platform for the execution of mobile applications where cloud performs the stimulating computing-intensive tasks and storing data in place of the mobile devices and provides them an illusion of infinite computing resources. This research work considers a cloud based mobile computing system consisting of virtual machines (as resources), cloudlets (as requests) and broker, where the broker assigns user cloudlet requests to virtual machines to be processed by the servers. It has been a great challenge to design and build an effective load balancing algorithm for the broker which spreads the service request load on virtual machines while utilizing the resources to the maximum. In this paper, a scheduling model to optimize the load based on maximum resource utilization rate using genetic algorithm for scheduling requests is proposed where the computing capacity of a datacenter is divided into number of tiers. Simulation results shows that the proposed work can effectively cope with the load imbalance problem in mobile cloud computing.

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Index Terms

Computer Science
Information Sciences

Keywords

Load Balancing Cloudlets Virtual Machines Response Time.

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