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ANT-LOAD: A Proficient Meta-Heuristic Cloud Load Balancing

by Ankita Taneja, Deepti Dhingra
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 124 - Number 7
Year of Publication: 2015
Authors: Ankita Taneja, Deepti Dhingra
10.5120/ijca2015905523

Ankita Taneja, Deepti Dhingra . ANT-LOAD: A Proficient Meta-Heuristic Cloud Load Balancing. International Journal of Computer Applications. 124, 7 ( August 2015), 26-32. DOI=10.5120/ijca2015905523

@article{ 10.5120/ijca2015905523,
author = { Ankita Taneja, Deepti Dhingra },
title = { ANT-LOAD: A Proficient Meta-Heuristic Cloud Load Balancing },
journal = { International Journal of Computer Applications },
issue_date = { August 2015 },
volume = { 124 },
number = { 7 },
month = { August },
year = { 2015 },
issn = { 0975-8887 },
pages = { 26-32 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume124/number7/22117-2015905523/ },
doi = { 10.5120/ijca2015905523 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:13:47.703531+05:30
%A Ankita Taneja
%A Deepti Dhingra
%T ANT-LOAD: A Proficient Meta-Heuristic Cloud Load Balancing
%J International Journal of Computer Applications
%@ 0975-8887
%V 124
%N 7
%P 26-32
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The Cloud computing is an embryonic as an innovative hypothesis of gigantic distributed calculation. Load balancing, the main trial in cloud computing, requires to allocate the vibrant workload uniformly across all of the machines. Burden balancing leads to a high user satisfaction and resource utilization ratio by confirming a proficient and fair allocating of all of the resources. Burden Balancing additionally supports ranking users by applying suitable method for scheduling. This paper concludes the counseled algorithm, Ant colony optimization, to resolve the setback of burden on the nodes in the cloud web, making the nodes burden free to work. This paper displays the drawbacks of Genetic Algorithm are resolved employing ACO for balancing the burden in the cloud network.

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Index Terms

Computer Science
Information Sciences

Keywords

ACO Cloud Computing Load Balancing Pheromone table.

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