International Journal of Science and Research (IJSR)
Since Year 2012 | Open Access | Fully Refereed | Peer Reviewed

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Research Paper | Computer Science & Engineering | India | Volume 10 Issue 9, September 2021

Load Balancing in Cloud Computing Using Optimization Algorithm

Manpreet Kaur ^[23] | Dr. Amandeep Kaur ^[2]

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

Load Balancing in Cloud Computing Using Optimization Algorithm

How to Cite this Article?

Manpreet Kaur, Dr. Amandeep Kaur, "Load Balancing in Cloud Computing Using Optimization Algorithm", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=MR21912194450, Volume 10 Issue 9, September 2021, 939 - 945, #ijsrnet

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