Abstract
A realistic energy-oriented model is necessary to formally characterize the energy consumption and the consequent carbon footprint of actual and future high-capacity WDM networks. The energy model describes the energy consumption of the various network elements (NE) and predicts their energy consumption behavior under different traffic loads and for the diverse traffic types, including all optical and electronic traffic, O/E/O conversions, 3R regenerations, add/drop multiplexing, etc. Besides, it has to be scalable and simple to implement, manage and modify according to the new architecture and technologies advancements. In this paper, we discuss the most relevant energy models present in the literature highlighting possible advantages, drawbacks and utilization scenarios in order to provide the research community with an overview over the different energy characterization frameworks that are currently being employed in WDM networks. We also present a comprehensive energy model which accounts for the foreseen energy-aware architectures and the growth rate predictions which tries to collect the main benefits of the previous models while maintaining low complexity and, thus, high scalability.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Gartner press release (2007), http://www.gartner.com/it/page.jsp?id=503867
An inefficient Truth by the Global Action Plan, http://www.globalactionplan.org.uk/upload/resource/Full-report.pdf
SMART 2020: Enabling the low carbon economy in the information age, The climate group (2008)
Global Action Plan Report, An inefficient truth (2007), http://www.globalactionplan.org.uk/
Pileri, S.: Energy and Communication: engine of the human progress. In: INTELEC 2007 keynote, Rome, Italy (September 2007)
Souchon Foll, L.: TIC et Énergétique: Techniques d’estimation de consommation sur la hauteur, la structure et l’évolution de l’impact des TIC en France, Ph.D. dissertation, Orange Labs/Institut National des Télécommunications (2009)
BT Press, BT announces major wind power plans (October 2007), http://www.btplc.com/News/Articles/Showarticle.cfm?ArticleID=dd615e9c-71ad-4daa-951a-55651baae5bb
EU Spring Summit, Brussels (March 2007)
Telefónica supplement, The environment and climate change, 2008 special report on corporate responsibility (April 2009)
Lange, C.: Energy-related Aspects in Backbone Networks. In: Proc. ECOC 2009, Vienna, Austria (September 2009)
Tucker, R.S., Parthiban, R., Baliga, J., Hinton, K., Ayre, R.W.A., Sorin, W.V.: Evolution of WDM Optical IP Networks: A Cost and Energy Perspective. IEEE/OSA Journal of Lightwave Technologies 27(3), 243–252 (2009)
Nature Photonics Technology Conference 2007, Tokyo, Japan (October 2007)
Saunders, H.D.: The Khazzoom-Brookes postulate and neoclassical growth. The Energy Journal (October 1992)
St Arnaud, B.: ICT and Global Warming: Opportunities for Innovation and Economic Growth, http://docs.google.com/Doc?id=dgbgjrct\2767dxpbdvcf
Chabarek, J., Sommers, J., Barford, P., Estan, C., Tsiang, D., Wright, S.: Power awareness in network design and routing. In: Proc. IEEE INFOCOM (2008)
Energy Star, Small network equipment, http://www.energystar.gov/index.cfm?c=new_specs.small_network_equip
Gupta, M., Singh, S.: Greening of the Internet. In: Proc. ACM SIGCOMM 2003, Karlsruhe, Germany (August 2003)
Muhammad, A., Monti, P., Cerutti, I., Wosinska, L., Castoldi, P., Tzanakaki, A.: Energy-Efficient WDM Network Planning with Protection Resources in Sleep Mode. In: IEEE Global Telecommunications Conference (GLOBECOM 2010), December 6-10, pp. 1–5 (2010), doi:10.1109/GLOCOM.2010.5683205
Vereecken, W., Van Heddeghem, W., Colle, D., Pickavet, M., Demeester, P.: Overall ICT footprint and green communication technologies. In: Proc. of ISCCSP 2010, Limassol, Cyprus (March 2010)
Juniper, http://www.juniper.net
Feng, M.Z., Hilton, K., Ayre, R., Tucker, R.: Reducing NGN Energy Consumption with IP/SDH/WDM. In: Proc. 1st International Conference on Energy-Efficient Computing and Networking, Passau, Germany, pp. 187–190 (2010) ISBN:978-1-4503-0042-1
Chiaraviglio, L., Mellia, M., Neri, F.: Energy-aware Backbone Networks: a Case Study. In: GreenComm – First International Workshop on Green Communications, Dresden, Germany (June 2009)
Van Heddeghem, W., De Groote, M., Vereecken, W., Colle, D., Pickavet, M., Demeester, P.: Energy-Efficiency in Telecommunications Networks: Link-by-Link versus End-to-End Grooming. In: Proc. of ONDM 2010, Kyoto, Japan, February 1-3 (2010)
Tucker, R.S.: Modelling Energy Consumption in IP Networks, http://www.cisco.com/web/about/ac50/ac207/crc_new/events/assets/cgrs_energy_consumption_ip.pdf (retrieved)
Moore, G.E.: Cramming more components onto integrated circuits. Electronics 38(8), April 19 (1965)
Gilder, G.F.: Telecosm: How Infinite Bandwidth Will Revolutionize Our World. The Free Press, NY (2000)
BONE project, WP 21 Topical Project Green Optical Networks: Report on year 1 and updated plan for activities, NoE, FP7-ICT-2007-1 216863, BONE project (December 2009)
Aleksic, S.: Analysis of Power Consumption in Future High-Capacity Network Nodes. Journal of Optical Communications and Networking 1(3), 245–258 (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Ricciardi, S., Careglio, D., Palmieri, F., Fiore, U., Santos-Boada, G., Solé-Pareta, J. (2012). Energy-Oriented Models for WDM Networks. In: Tomkos, I., Bouras, C.J., Ellinas, G., Demestichas, P., Sinha, P. (eds) Broadband Communications, Networks, and Systems. BROADNETS 2010. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 66. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30376-0_39
Download citation
DOI: https://doi.org/10.1007/978-3-642-30376-0_39
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-30375-3
Online ISBN: 978-3-642-30376-0
eBook Packages: Computer ScienceComputer Science (R0)