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.

Details

Title
Multi-Class Queuing Networks Models for Energy Optimization
Author
Cerotti, Davide; Gribaudo, Marco; Piazzolla, Pietro; Pinciroli, Riccardo; Serazzi, Giuseppe
Section
Journal_Article
Publication year
2015
Publication date
Nov 2015
Publisher
European Alliance for Innovation (EAI)
e-ISSN
2032944X
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2306244528
Copyright
© 2015. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.