TY - GEN
T1 - Greening backbone networks
T2 - 1st ACM SIGCOMM Workshop on Green Networking, Green Networking '10, Co-located with SIGCOMM 2010
AU - Fisher, Will
AU - Suchara, Martin
AU - Rexford, Jennifer L.
PY - 2010
Y1 - 2010
N2 - In backbone networks, the line cards that drive the links between neighboring routers consume a large amount of energy. Since these networks are typically overprovisioned, selectively shutting down links during periods of low demand seems like a good way to reduce energy consumption. However, removing entire links from the topology often reduces capacity and connectivity too much, and leads to transient disruptions in the routing protocol. In this paper, we exploit the fact that many links in core networks are actually 'bundles' of multiple physical cables and line cards that can be shut down independently. Since identifying the optimal set of cables to shut down is an NP-complete problem, we propose several heuristics based on linear optimization techniques. We evaluate our heuristics on topology and traffic data from the Abilene backbone as well as on two synthetic topologies. The energy savings are significant, our simplest heuristic reduces energy consumption by 79% on Abilene under realistic traffic loads and bundled links consisting of five cables. Our optimization techniques run efficiently using standard optimization tools, such as the AMPL/CPLEX solver, making them a practical approach for network operators to reduce the energy consumption of their backbones.
AB - In backbone networks, the line cards that drive the links between neighboring routers consume a large amount of energy. Since these networks are typically overprovisioned, selectively shutting down links during periods of low demand seems like a good way to reduce energy consumption. However, removing entire links from the topology often reduces capacity and connectivity too much, and leads to transient disruptions in the routing protocol. In this paper, we exploit the fact that many links in core networks are actually 'bundles' of multiple physical cables and line cards that can be shut down independently. Since identifying the optimal set of cables to shut down is an NP-complete problem, we propose several heuristics based on linear optimization techniques. We evaluate our heuristics on topology and traffic data from the Abilene backbone as well as on two synthetic topologies. The energy savings are significant, our simplest heuristic reduces energy consumption by 79% on Abilene under realistic traffic loads and bundled links consisting of five cables. Our optimization techniques run efficiently using standard optimization tools, such as the AMPL/CPLEX solver, making them a practical approach for network operators to reduce the energy consumption of their backbones.
KW - energy-efficiency
KW - optimization
KW - routing
KW - traffic engineering
UR - http://www.scopus.com/inward/record.url?scp=78149300910&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78149300910&partnerID=8YFLogxK
U2 - 10.1145/1851290.1851297
DO - 10.1145/1851290.1851297
M3 - Conference contribution
AN - SCOPUS:78149300910
SN - 9781450301961
T3 - Proceedings of the 1st ACM SIGCOMM Workshop on Green Networking, Green Networking '10, Co-located with SIGCOMM 2010
SP - 29
EP - 34
BT - Proceedings of the 1st ACM SIGCOMM Workshop on Green Networking, Green Networking '10, Co-located with SIGCOMM 2010
Y2 - 30 August 2010 through 30 August 2010
ER -