Bhavya, Alankar, Gaurav, Sharma, Harleen, Kaur, Valverde, Raul and Chang, Victor (2020) Experimental Setup for Investigating the Efficient Load Balancing Algorithms on Virtual Cloud. sensors, 20 (24).
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Official URL: https://doi.org/10.3390/s20247342
Abstract
Cloud computing has emerged as the primary choice for developers in developing applications that require high-performance computing. Virtualization technology has helped in the distribution of resources to multiple users. Increased use of cloud infrastructure has led to the challenge of developing a load balancing mechanism to provide optimized use of resources and better performance. Round robin and least connections load balancing algorithms have been developed to allocate user requests across a cluster of servers in the cloud in a time-bound manner. In this paper, we have applied the round robin and least connections approach of load balancing to HAProxy, virtual machine clusters and web servers. The experimental results are visualized and summarized using Apache Jmeter and a further comparative study of round robin and least connections is also depicted. Experimental setup and results show that the round robin algorithm performs better as compared to the least connections algorithm in all measuring parameters of load balancer in this paper.
Divisions: | Concordia University > John Molson School of Business > Supply Chain and Business Technology Management |
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Item Type: | Article |
Refereed: | Yes |
Authors: | Bhavya, Alankar and Gaurav, Sharma and Harleen, Kaur and Valverde, Raul and Chang, Victor |
Journal or Publication: | sensors |
Date: | 21 December 2020 |
Funders: |
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Digital Object Identifier (DOI): | 10.3390/s20247342 |
Keywords: | cloud computing; load balancing/balancer; round robin; least connections; virtual machine; HAProxy; Apache Jmeter |
ID Code: | 987838 |
Deposited By: | Raul Valverde |
Deposited On: | 10 Feb 2021 19:35 |
Last Modified: | 10 Feb 2021 19:35 |
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