Paper Info
Title
Energy-Efficient Data Center Networks
Abstract
Data center networks (DCNs) are designed to be scalable, resilient, and tolerant to failures. This is achieved through redundancy of network devices and links. All devices and links are always operational, consuming full energy even when underutilized. Energy-aware routing (EAR) protocols leverage network-wide information to dynamically scale up or down network energy consumption according to utilization. However, many EARs are designed for networks of devices and links that are not energy-proportional, such as ElasticTree and VMPlanner. The advent of Energy Efficient Ethernet (EEE) brings new challenges into how EAR protocols are designed. In this paper, we propose Greener, an extension of ElasticTree to leverage the energy proportionality characteristics of EEE. We integrate the EEE energy model with the ElasticTree solution. Greener is designed for K-ary Fat-Tree multi-rooted topologies, to steer flows along the most energy-efficient paths and put into sleep mode unused switches and links. Simulation experiments of Greener in DCNs of different sizes and under varying traffic loads show that it brings significant improvements in energy savings. Moreover, Greener outperforms the benchmark ElasticTree executed on EEE-based DCNs by up to 10 percentage points of energy savings.
Year
DOI
Venue
2018
10.1109/NCA.2018.8548323
2018 IEEE 17th International Symposium on Network Computing and Applications (NCA)
Keywords
Field
DocType
Energy-Efficient Ethernet,K-ary Fat-Tree,Elas-ticTree,Greener,Energy-aware routing
Efficient energy use,Computer science,Networking hardware,Computer network,Network topology,Energy-Efficient Ethernet,Sleep mode,Energy consumption,Data center,Distributed computing,Scalability
Conference
ISBN
Citations 
PageRank 
978-1-5386-7660-8
0
0.34
References 
Authors
10
3
Name
Order
Citations
PageRank
Juvencio Arnaldo Manjate101.35
Markus Hidell28410.90
Peter Sjödin312714.87