Prediction of Resource Allocation in Cloud Computing using Machine Learning

Saravanapandian, Aruna (2024) Prediction of Resource Allocation in Cloud Computing using Machine Learning. Masters thesis, Dublin, National College of Ireland.

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Abstract

Cloud computing eliminates the use of physical devices as computational resources are made available virtually, also poses a high demand now due to the increase in necessity for the cloud resources. Cloud resources could cause high costs if they are not used wisely hence, the prediction of the resource demand will help us allocate the resources efficiently. The prediction of the resource demand is analyzed with the various machine learning algorithms like Linear regression, Ridge Regression, Lasso regression, Random Forest Regression, Gradient Boosting Regression and fully connected neural networks. The goal is determining the machine learning algorithm that helps in predicting the resource demand with greater accuracy. The evaluation metrics like root mean square error, mean squared error, mean absolute error and r squared are taken into consideration.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Hasanuzzaman, Mohammed UNSPECIFIED
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Cloud computing Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning
Divisions:	School of Computing > Master of Science in Data Analytics
Depositing User:	Ciara O'Brien
Date Deposited:	04 Sep 2025 14:01
Last Modified:	04 Sep 2025 14:01
URI:	https://norma.ncirl.ie/id/eprint/8794

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