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Modified Active Monitoring Ant Clustering based Load Balancing over Public Clouds

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
Authors:
Sonam Raghuwanshi, Rashmi Nigoti
10.5120/ijca2017914105

Sonam Raghuwanshi and Rashmi Nigoti. Modified Active Monitoring Ant Clustering based Load Balancing over Public Clouds. International Journal of Computer Applications 167(1):29-34, June 2017. BibTeX

@article{10.5120/ijca2017914105,
	author = {Sonam Raghuwanshi and Rashmi Nigoti},
	title = {Modified Active Monitoring Ant Clustering based Load Balancing over Public Clouds},
	journal = {International Journal of Computer Applications},
	issue_date = {June 2017},
	volume = {167},
	number = {1},
	month = {Jun},
	year = {2017},
	issn = {0975-8887},
	pages = {29-34},
	numpages = {6},
	url = {http://www.ijcaonline.org/archives/volume167/number1/27737-2017914105},
	doi = {10.5120/ijca2017914105},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

Cloud computing is a technique of sharing resources over Internet, where Users Can Share or Store Resources and Data over Data Centers processed by Virtual Machines. During the Access of Resources over Data Centers requires load to be balanced by Virtual machines. The Existing Naïve Bayes Clustering is an efficient technique for Load Balancing over Cloud, but the existing methodology takes low Throughput and Make Span Time. Hence a new and efficient technique is implemented for Load Balancing over Public Clouds using Modified Active Monitoring based Ant Clustering. The Proposed Methodology implemented provides High Throughput and Make Span time as well as low Standard Deviation in Comparison with the Existing Naïve Bayes Load Balancing.

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Keywords

Cloud Computing, Virtual Machines, Load Balancing, Naïve Bayes Clustering, Ant based Clustering, Active Monitoring.