Title
Energy Aware Dynamic Provisioning for Heterogeneous Data Centers
Abstract
The huge amount of energy consumed by data centers represents a limiting factor in their operation. Many of these infrastructures are over-provisioned, thus a significant portion of this energy is consumed by inactive servers staying powered on even if the load is low. Although servers have become more energy-efficient over time, their idle power consumption remains still high. To tackle this issue, we consider a data center with an heterogeneous infrastructure composed of different machine types - from low power processors to classical powerful servers - in order to enhance its energy proportionality. We develop a dynamic provisioning algorithm which takes into account the various characteristics of the architectures composing the infrastructure: their performance, energy consumption and on/off reactivity. Based on future load information, it makes intelligent decisions of resource reconfiguration that impact the infrastructure at multiple terms. Our algorithm is reactive to load evolutions and is able to respect a perfect Quality of Service (QoS) while being energy-efficient. We evaluate our original approach with profiling data from real hardware and the experiments show that our dynamic provisioning brings significant energy savings compared to classical data centers operation.
Year
DOI
Venue
2016
10.1109/SBAC-PAD.2016.34
2016 28th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD)
Keywords
Field
DocType
energy aware dynamic provisioning algorithm,heterogeneous data centers,energy consumption,energy-efficiency,power consumption,heterogeneous infrastructure,low power processors,energy proportionality enhancement,load information,resource reconfiguration,quality of service,profiling data,QoS
Profiling (computer programming),Computer science,Limiting factor,Server,Parallel computing,Quality of service,Provisioning,Real-time computing,Energy consumption,Data center,Control reconfiguration,Distributed computing
Conference
ISSN
ISBN
Citations 
1550-6533
978-1-5090-6109-9
1
PageRank 
References 
Authors
0.37
9
5
Name
Order
Citations
PageRank
Violaine Villebonnet172.26
Georges Da Costa234532.75
L. Lefévre36218.51
Jean-Marc Pierson462359.06
Patricia Stolf512517.37