Cyriac James
Niklas Carlsson
ABSTRACT
To reduce energy consumption of lightly loaded routers, operators are increasingly incentivized to use Adaptive Link Rate (ALR) policies and techniques. These techniques typically save energy by adapting link service rates or by identifying opportune times to put interfaces into low-power sleep/idle modes. In this paper, we present a trace-based analysis of the impact that a router implementing these techniques has on the neighboring routers. We show that policies adapting the service rate at larger time scales, either by changing the service rate of the link interface itself or by changing which redundant heterogeneous link is active, typically have large positive effects on neighboring routers, with the downstream routers being able to achieve up-to 30% additional energy savings due to the upstream routers implementing ALR policies. Policies that save energy by temporarily placing the interface in a low-power sleep/idle mode, typically has smaller, but positive, impact on neighboring routers. Best are hybrid policies that use a combination of these two techniques. The hybrid policies consistently achieve the biggest energy savings, and have positive cascading effects on surrounding routers. Our results show that implementation of ALR policies can contribute to large-scale positive domino incentive effects, as they further increase the potential energy savings seen by those neighboring routers that consider implementing ALR techniques, while satisfying performance guarantees on the routers themselves.
- Ieee 802.3az energy efficient ethernet: Build greener networks. White Paper from Cisco and Intel (2011).Google Scholar
- Ananthanarayanan, G., and Katz, R. H. Greening the switch. In Proc. OSDI (2008). Google ScholarDigital Library
- Barroso, L., and Holze, U. The case for energy-proportional computing. IEEE Computer 40, 12 (April 2007), 33--37. Google ScholarDigital Library
- Bolla, R., Bruschi, R., Davoli, F., and Cucchietti, F. Energy Efficiency in the Future Internet: A Survey of Existing Approaches and Trends in Energy-Aware Fixed Network Infrastructures. IEEE Communications Survey and Tutorials 13, 2 (2011), 223--244.Google ScholarCross Ref
- Bolla, R., Davoli, F., Christensen, K., Cucchietti, F., and Suresh, S. The potential impact of green technologies in next-generation wireline networks: Is there room for energy saving optimization? IEEE Communications Magazine 49, 8 (Aug 2011), 80--86.Google ScholarCross Ref
- Burke, P. J. The output of a queueing system. Operations Research 4, 6 (1956), 699--704.Google ScholarDigital Library
- Chiaraviglio, L., Mellia, M., and Neri, F. Energy-aware backbone networks: A case study. In Proc. IEEE GreenComm (2009).Google ScholarCross Ref
- Chiaraviglio, L., Mellia, M., and Neri, F. Reducing power consumption in backbone networks. In Proc. IEEE ICC (2009). Google ScholarDigital Library
- Cho, K., Mitsuya, K., and Kato, A. Traffic data repository at the WIDE project. In Proc. USENIX ATC (2000). Google ScholarDigital Library
- Christensen, K., Reviriego, P., Nordman, B. and Bennett, M., Mostowfi, M., and Maestro, J. Ieee 802.3az: The road to energy efficcient ethernet. IEEE Communications Magazine 48, 11 (2010), 50--56. Google ScholarDigital Library
- Cleary, J. G. Wand project at university of waikato, nz. In Proc. HPN: Measurements and Analysis Collaborations Workshop (1999).Google Scholar
- Fan, J., Xu, J., Ammar, M. H., and Moon, S. B. Prefix-preserving ip address anonymization: measurement-based security evaluation and a new cryptography-based scheme. Computer Networks (Oct. 2004), 253--272. Google ScholarDigital Library
- Gunaratne, C., Christensen, K., and Nordman, B. Managing energy consumption costs in dektop PCs and LAN switches with proxying, split tcp connections, and scaling of link speed. International Journal of Network Management 15 (Sept. 2005), 297--310. Google ScholarDigital Library
- Gunaratne, C., Christensen, K., Nordman, B., and Suen, S. Reducing the energy consumption of ethernet with an adaptive link rate (alr). IEEE Trans. on Computers 57, 4 (April 2008), 448--461. Google ScholarDigital Library
- Gupta, M., Grover, S., and Singh, S. A feasibility study for power management in LAN switches.Google Scholar
- Gupta, M., and Singh, S. Greening of the internet. In Proc. ACM SIGCOMM (2003). Google ScholarDigital Library
- Gupta, M., and Singh, S. Dynamic ethernet link shutdown for energy conservation on ethernet links. In Proc. IEEE ICC (2007).Google ScholarCross Ref
- Hähnel, M., Döbel, B., Völp, M., and Härtig, H. ebond: energy saving in heterogeneous R.A.I.N. In Proc. e-Energy (May 2013). Google ScholarDigital Library
- Hanay, Y. S., Li, W., Tessier, R., and Wolf, T. Saving energy and improving TCP throughput with rate adaptation in ethernet. In Proc. IEEE ICC (2012).Google ScholarCross Ref
- Hays, R. Active/idle toggling with low-power idle. Presentation for IEEE 802.3az Task Force (Jan 2008).Google Scholar
- Hohn, N., Papagiannaki, K., and Veitch, D. Capturing router congestion and delay. IEEE/ACM Trans. on Networking 17, 3 (June 2009), 789--802. Google ScholarDigital Library
- Huang, T.-Y., Handigol, N., Heller, B., McKeown, N., and Johari, R. Confused, timid, and unstable: Picking a video streaming rate is hard. In Proc. IMC (2012). Google ScholarDigital Library
- Kleinrock, L. Communications Nets: Stochastic Message Flow and Delay. McGraw Hill, 1964. Google ScholarDigital Library
- Labovitz, C., Iekel-Johnson, S., McPherson, D., Oberheide, J., and Jahanian, F. Internet inter-domain traffic. In Proc. ACM SIGCOMM (2010). Google ScholarDigital Library
- Lange, C. Energy-related Aspects in Backbone Networks. In Proc. ECOC (2009).Google Scholar
- Mao, Z. M., Rexford, J., Wang, J., and Katz, R. H. Towards an accurate as-level traceroute tool. In Proc. ACM SIGCOMM (2003). Google ScholarDigital Library
- Meisner, D., Gold, B. T., and Wenisch, T. F. Powernap: Eliminating server idle power. In Proc. ASPLOS (2009). Google ScholarDigital Library
- Nedevschi, S., Popa, L., Iannaccone, G., Ratnasamy, S., and Wetherall, D. Reducing network energy consumption via sleeping and rate-adaptation. In Proc. NSDI (2008). Google ScholarDigital Library
- Pinedo, M., and Wolff, R. W. A comparison between tandem queues with dependent and independent service time. Operations Research 30, 3 (1982), 464--479.Google ScholarDigital Library
- Restrepo, J., Gruber, C., and Machoca, C. Energy profile aware routing. In Proc. IEEE GreenComm (2009).Google Scholar
- Reviriego, P., Christensen, K., Rabanillo, J., and Maestro, J. An initial evaluation of energy efficient ethernet. IEEE Communications Letters 15 (May 2011), 578--580.Google ScholarCross Ref
- Sandmann, W. Delays in a series of queues with correlated service times. Journal of Networks and Computer Applications 35 (2012), 1415--1423. Google ScholarDigital Library
- Tucker et al., R. Energy Consumption in IP Networks. ECOC (2008).Google Scholar
- Weiser, M., Welch, B., Demers, A., and Shenker, S. Scheduling for reduced cpu energy. In Proc. USENIX OSDI (1994). Google ScholarDigital Library
- Wierman, A., Andrew, L. L. H., and Tang, A. Power-aware speed scaling in processor sharing systems. In Proc. IEEE INFOCOM (2009).Google ScholarCross Ref
- Zhang, B., Sabhanatarajan, K., Gordon-Ross, A., and George, A. Real-time performance analysis of adaptive link rate. In Proc. IEEE LCN (2008).Google Scholar
- Zhang, G. Q., Yang, Q. F., and Cheng, T. Z. Evolution of the internet and its cores. New Journal of Physics 10, 12 (2008), 1--11.Google ScholarCross Ref
Index Terms
- Green Domino Incentives: Impact of Energy-aware Adaptive Link Rate Policies in Routers
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