GreenStream Routing: Dynamic Data Allocation from Edge Devices to MultiCloud Based on Renewable Energy Utilization

Akabote, Vamshi Goutham (2024) GreenStream Routing: Dynamic Data Allocation from Edge Devices to MultiCloud Based on Renewable Energy Utilization. Masters thesis, Dublin, National College of Ireland.

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Abstract

The rapid growth of data centres to support the increasing digital service has led to significant energy consumption and environmental impacts, primarily due to reliance on non-renewable energy (brown energy) sources. This research introduces Adaptive Renewable Energy Resource Allocation (ARERA) algorithm, which is designed to dynamically route tasks from the edge devices to cloud data centres based on distinct factors like renewable energy availability, current load distance, and urgency of task. By integrating ARERA with iFogSim simulation toolkit, this study aims to optimize energy usage and reduce carbon emission. The results produced by the simulation demonstrates that the ARERA effectively prioritizes data centres powered by renewable energy, significantly reducing carbon emissions while maintaining performance and efficiency. For example, during simulation process the tasks routed to data centres with higher renewable energy availability had significantly lower carbon footprint which some scenarios achieving up to 100% renewable energy usage. This study not only explains the theoretical understanding of sustainable cloud computing but also provides a practical solution for greener data centre operations, which can be used for both academic research purpose and industry practice. Future work will focus on real world implementation, addressing dynamic workloads and expanding decision making criteria to enhance robustness and adaptability of ARERA mechanism.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Samarawickrama, Yasantha UNSPECIFIED
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science Q Science > QA Mathematics > Computer software T Technology > T Technology (General) > Information Technology > Computer software G Geography. Anthropology. Recreation > GE Environmental Sciences > Environment
Divisions:	School of Computing > Master of Science in Cloud Computing
Depositing User:	Ciara O'Brien
Date Deposited:	03 Jul 2025 08:30
Last Modified:	03 Jul 2025 08:30
URI:	https://norma.ncirl.ie/id/eprint/8006

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