Maximizing Power Efficiency in K8s using Custom Scheduler

Divi, Vishnu Praneeth (2025) Maximizing Power Efficiency in K8s using Custom Scheduler. Masters thesis, Dublin, National College of Ireland.

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Abstract

This research addresses the challenge of energy efficiency in Kubernetes environments where container orchestration decisions significantly impact data center power consumption. optimizing energy consumption has become challenge for environmental sustainability and operational cost reduction. The default Kubernetes scheduler primarily focuses on CPU and memory requests rather than actual resource usage patterns, leading to inefficiency energy utilization across clusters. This study introduces an approach to Kubernetes scheduling that incorporates real-time power metrics and parameter-optimized models to make energy-aware placement decisions.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Setlur Arun, Shreyas UNSPECIFIED
Subjects:	Q Science > QH Natural history > QH301 Biology > Methods of research. Technique. Experimental biology > Data processing. Bioinformatics > Artificial intelligence Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Artificial intelligence 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:	20 Mar 2026 15:31
Last Modified:	20 Mar 2026 15:31
URI:	https://norma.ncirl.ie/id/eprint/9211

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