Title :
Energy efficient Ethernet encodings
Author :
Chen, Yanpei ; Wang, Tracy Xiaoxiao ; Katz, Randy H.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Univ. of California, Berkeley, Berkeley, CA
Abstract :
The energy efficiency of network elements is becoming more prominent, with growing concern for Internet power consumption and heat dissipation in datacenters and communications closets. Previous work has looked at energy efficient wireless topologies, network nodes, routers, and protocols. In considering a fresh redesign of the Internet datacenter for energy efficiency, we believe that energy efficient encodings are worthy of study. In this work, we re-examine the choice of Ethernet encoding, develop an associated energy model, evaluate current encodings, and propose new encodings. We found that simpler encodings are more energy efficient, with power savings of around 20% for the best encoding. Our work represents a first step in re-examining the established assumptions and practices of the PHY level of the network stack with respect to energy.
Keywords :
Internet; encoding; local area networks; power consumption; Ethernet encodings; Internet datacenter; Internet power consumption; communications closets; energy efficient wireless topologies; heat dissipation; network nodes; network stack; Costs; Encoding; Energy consumption; Energy efficiency; Energy management; Ethernet networks; IP networks; Internet; Mathematical model; Space technology; Ethernet encoding; energy efficiency;
Conference_Titel :
Local Computer Networks, 2008. LCN 2008. 33rd IEEE Conference on
Conference_Location :
Montreal, Que
Print_ISBN :
978-1-4244-2412-2
Electronic_ISBN :
978-1-4244-2413-9
DOI :
10.1109/LCN.2008.4664160