Achieving Green Data Centres for Sustainable Cloud Computing

Gupta, Mariam Ishaq (2024) Achieving Green Data Centres for Sustainable Cloud Computing. Masters thesis, Dublin, National College of Ireland.

Preview	PDF (Master of Science) Download (1MB) | Preview
Preview	PDF (Configuration Manual) Download (1MB) | Preview

Abstract

The growth of cloud computing comes with a cost, data centres, extremely power hungry and large CO2 producers, are becoming increased sustainability problems. Their electricity consumption might emerge at 3000 TWh annually by 2030 according to estimates, or 8000 TWh in worst-case scenario. This research explores how data centre energy consumption can be minimized to extend cloud reliability and efficiency.

Using Google Cluster Workload Traces, derived from real world dynamic workloads in Google’s Borg clusters, the research examines computational resource utilization and energy profiling. Machine Learning models - GBDT, DQN, and HEPGA are used to estimate energy consumption in a cloud computing data centre to optimize on resource utilization and optimal resource scheduling. Simulations of energy consumption, conducted using Python’s SimPy framework, demonstrate energy-saving potential under various workload conditions.

The results highlight the power of predictive modelling with low MSE in forecasting energy demands and the impact of dynamic scheduling algorithms on reducing consumption. This approach demonstrates the path towards green and high-performance data centres for the next generation meeting the ecological issues of cloud computing.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Heeney, Sean 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
Divisions:	School of Computing > Master of Science in Cloud Computing
Depositing User:	Ciara O'Brien
Date Deposited:	15 Jul 2025 11:18
Last Modified:	15 Jul 2025 11:18
URI:	https://norma.ncirl.ie/id/eprint/8100

Actions (login required)

View Item