Models and Control Strategies for Data Center Energy Efficiency
PhD Thesis · Carnegie Mellon University, 2012
data-centers
energy-management
PhD thesis proposing a cyber-physical systems approach to data center energy management, integrating thermal and computational models under a unified MPC framework to minimise energy consumption while meeting SLA constraints.
Abstract
This dissertation develops models and control strategies for improving energy efficiency in data centers. It proposes a cyber-physical systems approach that integrates thermal and computational models of data center infrastructure under a unified model predictive control (MPC) framework. The framework enables coordinated management of servers and cooling systems to minimise total energy consumption while satisfying service-level agreement constraints.
Related
Citation
BibTeX citation:
@phdthesis{parolini2012thesis,
author = {Parolini, Luca},
publisher = {Carnegie Mellon University},
title = {Models and {Control} {Strategies} for {Data} {Center}
{Energy} {Efficiency}},
date = {2012-01-01},
url = {https://lucaparolini.com/publications/papers/phd-thesis-2012/},
langid = {en}
}
For attribution, please cite this work as:
L.
Parolini, “Models and Control Strategies for Data Center Energy
Efficiency,” PhD thesis, Carnegie Mellon University, 2012.
Available: https://lucaparolini.com/publications/papers/phd-thesis-2012/