ETRI Journal

  • 제39권2호
  • /
  • Pages.275-283
  • /
  • 2017
  • /
  • 1225-6463(pISSN)
  • /
  • 2233-7326(eISSN)
한국전자통신연구원 (Electronics and Telecommunications Research Institute)
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Novel Packet Switching for Green IP Networks

  • Jo, Seng-Kyoun (Hyper-connected Communication Research Laboratory, ETRI) ;
  • Kim, Young-Min (Hyper-connected Communication Research Laboratory, ETRI) ;
  • Lee, Hyun-Woo (Hyper-connected Communication Research Laboratory, ETRI) ;
  • Kangasharju, Jussi (Department of Computer Science, University of Helsinki) ;
  • Mulhauser, Max (Department of Computer Science, Technische Universitat Darmstadt)
  • 투고 : 2016.02.29
  • 심사 : 2016.12.14
  • 발행 : 2017.04.01
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초록

A green technology for reducing energy consumption has become a critical factor in ICT industries. However, for the telecommunications sector in particular, most network elements are not usually optimized for power efficiency. Here, we propose a novel energy-efficient packet switching method for use in an IP network for reducing unnecessary energy consumption. As a green networking approach, we first classify the network nodes into either header or member nodes. The member nodes then put the routing-related module at layer 3 to sleep under the assumption that the layer in the OSI model can operate independently. The entire set of network nodes is then partitioned into clusters consisting of one header node and multiple member nodes. Then, only the header node in a cluster conducts IP routing and its member nodes conduct packet switching using a specially designed identifier, a tag. To investigate the impact of the proposed scheme, we conducted a number of simulations using well-known real network topologies and achieved a more energy- efficient performance than that achieved in previous studies.

키워드

참고문헌

  1. Cisco, Cisco Visual Networking Index: Forecast and Methodology, 2014-2019, Technical Reports, 2015.
  2. L. Chiaraviglio, M. Mellia, and F. Neri, "Reducing Power Consumption in Backbone Networks," IEEE Int. Conf. Commun., Dresden, Germany, June 14-18, 2009, pp. 1-6.
  3. Y.-M. Kim, E.-J. Lee, and H.-S. Park, "Ant Colony Optimization Based Energy Saving Routing for Energy-Efficient Networks," IEEE Commun. Lett., vol. 15, no. 7, July 2011, pp. 779-781. https://doi.org/10.1109/LCOMM.2011.060811.110881
  4. ITU-T REC. Y.3022, Measuring Energy in Networks, Aug. 2013.
  5. M. Andrews et al., "Routing for Energy Minimization in the Speed Scaling Model," Proc. IEEE INFOCOM, San Diego, CA, USA, Mar. 14-19, 2010, pp. 1-9.
  6. A.M. Lyons, D.T. Nelson, and T.R. Salamon, Energy Efficient Strategies for High Density Telecom Applications, Alcatel-Lucent, Technical Reports, June 2008.
  7. EU-ECONET Project, Accessed Dec. 17, 2015. http://www.econet-project.eu
  8. J. Wu, S. Rangan, and H. Zhang, Green Communications: Theoretical Fundamentals, Algorithms and Applications, Boca Raton, FL, USA: CRC Press, 2012.
  9. V. Acharya, Energy Consumption of IP vs Ethernet, MS thesis, Aalto University, Espoo, Finland, 2012.
  10. C. Lee et al., "Energy Efficient Network Planning: Issues and Prospects in Wired/wireless Network," Int. Conf. ICT Convergence, Seoul, Rep. of Korea, Sept. 28-30, 2011, pp. 132-135.
  11. J. Matias et al., "Toward an SDN-Enabled NFV Architecture," IEEE Commun. Mag., vol. 53, no. 4, Apr. 2015, pp. 187-193. https://doi.org/10.1109/MCOM.2015.7081093
  12. G. Wu et al., "Recent Advances in Energy Efficient Networks and Their Application in 5G Systems," IEEE Wireless Commun., vol. 22, no. 2, Apr. 2015, pp. 145-151. https://doi.org/10.1109/MWC.2015.7096297
  13. G.S. Sara, S.P. Devi, and D. Sridharan, "A Generic-Algorithm-Based Optimized Clustering for Energy-Efficient Routing in MWSN," ETRI J., vol. 34, no. 6, Dec. 2012, pp. 922-931. https://doi.org/10.4218/etrij.12.1812.0047
  14. R. Bolla et al., "Energy Efficiency in the Future Internet: a Survey of Existing Approaches and Trends in Energy-Aware Fixed Network Infrastructures," IEEE Commun. Surveys Tutorials, vol. 13, no. 2, May 2011, pp. 223-244. https://doi.org/10.1109/SURV.2011.071410.00073
  15. J. Chabarek et al., "Power Awareness in Network Design and Routing," IEEE Conf. Comput. Commun., Phoenix, AZ, USA, Apr. 13-18, 2008, pp. 1130-1138.
  16. L. Chiaraviglio et al., "Energy-Aware UMTS Access Networks," Int. Teletraffic Congress, Paris, France, Sept. 15-17, 2008, pp. 1-8.
  17. A. Cianfrani et al., "An Energy Saving Routing Algorithm for a Green OSPF Protocol," IEEE Conf. Comput. Commun. Workshop, San Diego, CA, USA, Mar. 15-19, 2010, pp. 1-5.
  18. X. Wang et al., "Dynamic Layer-1 WAN Access Architecture for Large Enterprises," IEEE ICNC, 2015.
  19. M. Jimeno, K. Christensen, and B. Nordman, "A Network Connection Proxy to Enable Hosts to Sleep and Save Energy," IEEE Int. Performance, Comput. Commun. Conf., Austin, TX, USA, Dec. 7-9, 2008, pp. 101-110.
  20. J. Llorca et al., "Dynamic in-Network Caching for Energy Efficient Content Delivery," INFOCOM, Proc. IEEE, Turin, Italy, Apr. 14-19, 2013, pp. 245-249.
  21. C. Fang et al., "A Survey of Energy Efficient Caching in Information-Centric Networking," IEEE, Commun. Mag., vol. 2, no. 11, Nov. 2014, pp. 122-129.
  22. L. Chiaraviglio, M. Mellia, and F. Neri, "Minimizing ISP Network Energy Cost: Formulation and Solutions," IEEE/ACM Trans. Netw., vol. 20, no. 2, Apr. 2012, pp. 463-476. https://doi.org/10.1109/TNET.2011.2161487
  23. IETF RFC 3031, Multiprotocol Label Switching Architecture, Jan. 2001.
  24. N. Spring, R. Mahajan, and D. Wetherall, "Measuring ISP Topologies with Rocketfuel," ACM SIGCOMM, Pittsburgh, PA, USA, Aug. 19-23, 2002, pp. 1-13.

피인용 문헌

  1. Evolutionary Sleep Scheduling in Software-Defined Networks vol.6, pp.None, 2017, https://doi.org/10.1109/access.2018.2841985