Load Balancing in Cloud Computing Using Optimization Algorithm
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Research Paper | Computer Science & Engineering | India | Volume 10 Issue 9, September 2021 | Popularity: 5 / 10


     

Load Balancing in Cloud Computing Using Optimization Algorithm

Manpreet Kaur, Dr. Amandeep Kaur


Abstract: Cloud computing may be viewed as a broad spectrum of networks to connect many private or public networks. Delivering a scalable framework for application, data and file storage is the core of this technology. Cloud systems may malfunction when virtual machines are distributed with excessive load. In this work, a flexible task scheduling strategy based on ACO algorithm has been applied. This strategy can effortlessly assign the task to the most reliable VM (virtual machine). The weight counted on a VM is the measure of its consistency. This work uses MATLAB tool to implement the recommended and old strategies. The simulations are carried out; showing that ACO based task scheduling strategy significantly decreases the total execution time with no performance loss than the existing solutions.


Keywords: Virtual Machine Migration, Load Balancing, ACO, Weight Based Algorithm


Edition: Volume 10 Issue 9, September 2021


Pages: 939 - 945


DOI: https://www.doi.org/10.21275/MR21912194450


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Manpreet Kaur, Dr. Amandeep Kaur, "Load Balancing in Cloud Computing Using Optimization Algorithm", International Journal of Science and Research (IJSR), Volume 10 Issue 9, September 2021, pp. 939-945, https://www.ijsr.net/getabstract.php?paperid=MR21912194450, DOI: https://www.doi.org/10.21275/MR21912194450

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