TY - GEN
T1 - A distributed energy saving approach for ethernet switches in data centers
AU - Si, Weisheng
AU - Taheri, Javid
AU - Zomaya, Albert
PY - 2012
Y1 - 2012
N2 - ![CDATA[With popularity of data centers, energy efficiency of Ethernet switches in them is becoming a critical issue. Most existing energy saving approaches use a centralized methodology that assumes global knowledge of data center networks. Though these approaches can achieve nearly optimal energy saving for static traffic patterns, they are not suitable when the traffic patterns can change rapidly or the data centers have a large size. To overcome these limitations, this paper proposes a novel distributed approach called eAware that dynamically idles a port or a switch to save energy by examining the queue lengths and utilizations at switch ports. Through extensive simulations in ns-2, we compare eAware with an existing energy oblivious approach, showing that eAware can save 30%-50% on the total energy consumption by switches in data centers, and only increases the average end-to-end delay of packets by 3%-20% and the packet loss ratio by 0%-0.9%.]]
AB - ![CDATA[With popularity of data centers, energy efficiency of Ethernet switches in them is becoming a critical issue. Most existing energy saving approaches use a centralized methodology that assumes global knowledge of data center networks. Though these approaches can achieve nearly optimal energy saving for static traffic patterns, they are not suitable when the traffic patterns can change rapidly or the data centers have a large size. To overcome these limitations, this paper proposes a novel distributed approach called eAware that dynamically idles a port or a switch to save energy by examining the queue lengths and utilizations at switch ports. Through extensive simulations in ns-2, we compare eAware with an existing energy oblivious approach, showing that eAware can save 30%-50% on the total energy consumption by switches in data centers, and only increases the average end-to-end delay of packets by 3%-20% and the packet loss ratio by 0%-0.9%.]]
KW - data centres
KW - energy consumption
KW - ethernet (local area network system)
KW - packet switching (data transmission)
UR - http://handle.uws.edu.au:8081/1959.7/521978
U2 - 10.1109/LCN.2012.6423667
DO - 10.1109/LCN.2012.6423667
M3 - Conference Paper
SN - 9781467315647
SP - 505
EP - 512
BT - Proceedings of the 37th Annual IEEE Local Computer Networks Conference (LCN 2012): Clearwater, Florida, United States, 22-25 October 2012
PB - IEEE
T2 - Conference on Local Computer Networks
Y2 - 22 October 2012
ER -