TY - GEN
T1 - DEER
T2 - 2014 20th IEEE International Workshop on Local and Metropolitan Area Networks, LANMAN 2014
AU - Zhou, Biyu
AU - Wang, Lin
AU - Zhang, Fa
AU - Jin, Xibo
AU - Liu, Zhiyong
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/1/30
Y1 - 2014/1/30
N2 - The rapid growth of Internet services has brought emergent concerns over network energy efficiency. This study aims to improve network energy efficiency using power-down technique. We propose DEER, a fully distributed routing scheme. The main concept of DEER is to dynamically allocate the traffic demands in the nodes so that some links connected to the nodes can be put into sleep mode, thus reducing the energy consumption. The special features of DEER include that it does not need global traffic matrix of the network and that it uses only the local information of link loads, making DEER be able to be implemented in a distributed manner without centralized control. We develop algorithms in DEER to dynamically change the link state (into active or sleep mode) according to link utilization and to balance the loads of links by adjusting the link weights. With the traffic load varying over time, the link state transformation is triggered when any of the pre-defined thresholds is violated. Extensive simulations with the network topology and real traffic traces from the GÉANT network confirm that by involving DEER, up to 50% of the links can be put into sleep while the frequency of chaining the state of a link stays fairly low.
AB - The rapid growth of Internet services has brought emergent concerns over network energy efficiency. This study aims to improve network energy efficiency using power-down technique. We propose DEER, a fully distributed routing scheme. The main concept of DEER is to dynamically allocate the traffic demands in the nodes so that some links connected to the nodes can be put into sleep mode, thus reducing the energy consumption. The special features of DEER include that it does not need global traffic matrix of the network and that it uses only the local information of link loads, making DEER be able to be implemented in a distributed manner without centralized control. We develop algorithms in DEER to dynamically change the link state (into active or sleep mode) according to link utilization and to balance the loads of links by adjusting the link weights. With the traffic load varying over time, the link state transformation is triggered when any of the pre-defined thresholds is violated. Extensive simulations with the network topology and real traffic traces from the GÉANT network confirm that by involving DEER, up to 50% of the links can be put into sleep while the frequency of chaining the state of a link stays fairly low.
UR - http://www.scopus.com/inward/record.url?scp=84983212626&partnerID=8YFLogxK
U2 - 10.1109/LANMAN.2014.7028631
DO - 10.1109/LANMAN.2014.7028631
M3 - Conference contribution
AN - SCOPUS:84983212626
T3 - 2014 IEEE 20th International Workshop on Local and Metropolitan Area Networks, LANMAN 2014
BT - 2014 IEEE 20th International Workshop on Local and Metropolitan Area Networks, LANMAN 2014
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 21 May 2014 through 23 May 2014
ER -
