Research Article
Multi-Class Queuing Networks Models for Energy Optimization
@ARTICLE{10.4108/icst.valuetools.2014.258214, author={Davide Cerotti and Marco Gribaudo and Pietro Piazzolla and Riccardo Pinciroli and Giuseppe Serazzi}, title={Multi-Class Queuing Networks Models for Energy Optimization}, journal={EAI Endorsed Transactions on Energy Web}, volume={2}, number={6}, publisher={EAI}, journal_a={EW}, year={2015}, month={2}, keywords={performance, energy optimization, energy-aware scheduling, queuing network, multi-class workload, load control policies}, doi={10.4108/icst.valuetools.2014.258214} }- Davide Cerotti
Marco Gribaudo
Pietro Piazzolla
Riccardo Pinciroli
Giuseppe Serazzi
Year: 2015
Multi-Class Queuing Networks Models for Energy Optimization
EW
EAI
DOI: 10.4108/icst.valuetools.2014.258214
Abstract
The increase of energy consumption and the related costs in large data centers has stimulated new researches on techniques to optimize the power consumption of the servers. In this paper we focus on systems that should process a peak workload consisting of different classes of applications. The objective is to implement a policy of load control which allows an efficient use of the power deployed to the resources. The proposed strategy controls the workload mix in order to achieve the maximum utilization of all the resources allocated. As a consequence, the power provision will be fully utilized and the throughput maximized. Thus, the costs to execute a given workload will be minimized, together with its energy consumption, since the required processing time is decreased.
Copyright © 2015 D. Cerotti al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
