Optimizing Green Cloud Computing - Harnessing the Power of Machine Leaning for Sustainable Resource Management

Khan, Shoaib Nazmul (2024) Optimizing Green Cloud Computing - Harnessing the Power of Machine Leaning for Sustainable Resource Management. Masters thesis, Dublin, National College of Ireland.

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Abstract

This research aims at adopting the ML into the resource management to meet the emerging Green Cloud Computing (GCC) to meet the continually escalating energy demands and environmental impacts. Conventional resource procurement strategies are ill suited to the continually growing cloud computing industry and prove to be inefficient and wasteful due to the static nature of resources and the fact that most are generated through the burning of fossil fuels. This research aims at implementing federated learning, a privacy-preserving ML approach, to enhance the distributed resource management and reduce the impact on the environment. According to the results, the ML method can estimate the necessary resources and optimize the scaling and usage of energy supply. Real-time usage data and data collected from the past on the energy consumed by the data center gives the opportunity to help contain more operational expenses as well as carbon outputs. Further, the study also focuses on the directions for the enhancement of sustainable cloud infrastructures through the integration of renewable energy sources. Finally, this research provides important insights for cloud service providers that seek to incorporate the advanced use of the Machine Learning techniques to promote environment-conscious resource management with the aim of improving the green aspect of the cloud computing services.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Gupta, Shaguna UNSPECIFIED
Uncontrolled Keywords:	Green cloud computing; machine learning; federated learning; resource management; energy efficiency; sustainability; renewable energy; predictive modeling
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 G Geography. Anthropology. Recreation > GE Environmental Sciences > Environment Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning
Divisions:	School of Computing > Master of Science in Cloud Computing
Depositing User:	Ciara O'Brien
Date Deposited:	03 Jul 2025 11:27
Last Modified:	03 Jul 2025 11:27
URI:	https://norma.ncirl.ie/id/eprint/8025

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