Experimental Setup for Investigating the Efficient Load Balancing Algorithms on Virtual Cloud

Author:

Alankar Bhavya,Sharma Gaurav,Kaur Harleen,Valverde Raul,Chang VictorORCID

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.

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference34 articles.

1. Windows Server (2003) Clustering & Load Balancing;Shimonski,2003

2. Cloud Computing a Practical Approach;Velte,2009

3. Exploiting Dynamic Resource Allocation for Efficient Parallel Data Processing in the Cloud

4. Performance Analysis of Load Balancing Architectures in Cloud Computing

5. CloudSim: A Novel Framework for Modeling and Simulation of Cloud Computing Infrastructure and Services;Calheiros,2009

Cited by 19 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Paving the Path to a Sustainable Digital Future With Green Cloud Computing;Emerging Trends in Cloud Computing Analytics, Scalability, and Service Models;2024-03-22

2. Machine learning-driven energy-efficient load balancing for real-time heterogeneous systems;Cluster Computing;2024-01-09

3. Enhancement of Round Robin Algorithm with Dynamic Quantum in Cloud Computing;2023 International Conference on Inventive Computation Technologies (ICICT);2023-04-26

4. Test performance of electric vehicle charging station management system;INTERNATIONAL CONFERENCE ON MECHANICAL ENGINEERING FOR EMERGING TECHNOLOGIES (ICOMEET 2021);2023

5. An Optimal Scheduling Tasks in Cloud Computing;2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC);2022-12-15

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3