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