Models and Control Strategies for Data Center Energy Efficiency
PhD Thesis · Carnegie Mellon University, 2012
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.
Cite
L. Parolini, “Models and Control Strategies for Data Center Energy Efficiency,” PhD thesis, Carnegie Mellon University, 2012.
BibTeX
@phdthesis{parolini2012thesis,
author = {Parolini, Luca},
year = {2012},
month = {jan},
school = {Carnegie Mellon University},
title = {Models and {Control} {Strategies} for {Data} {Center} {Energy} {Efficiency}},
}