how to reduce the network energy consumption has become a scientific problem to be solved urgently.Current existing routing energy-saving solutions to different degrees exist to reduce the network performance
availability and uneven distribution of flow routing and other issues
so this paper proposes a Internet routing energy-saving algorithm based on traffic matrix. The method dynamically shuts down the links in the network according to the real-time traffic matrix and maximum link utilization so as to achieve the goal of energy saving. The experiment results show that the algorithm is based on the guarantee efficiency of the network
to minimize the network link utilization and energy consumption.
关键词
Keywords
references
ZHANG G Q. Research on green network theory and technology[J]. Journal of Software 2016, 27(3)736-759. DOI: 736
CHABAREK J, SOMMERS J, BARFORD P, et al. Power awareness in network design and routing[C]// The 27th Conference on Computer Communications, INFOCOM 2008. Phoenix, AZ, USA, 2008.
GUPTA M, SINGH S. Greening of the internet[C]//Proceedings of the 2003 conference on Applications, technologies, architectures, and protocols for computer communications. Karlsruhe, Germany, ACM, 2003: 19-26.
CHRISTENSEN K, REVIRIEGO P, NORDMAN B, et al. IEEE 802.3az: The road to energy efficient Ethernet[J]. IEEE Communications Magazine, 2010, 48(11): 50-56. doi: 10.1109/MCOM.2010.5621967
RAHMAN M M, SAHA S, CHENGAN U, et al. IP traffic matrix estimation methods: comparisons and improvements[C]// Proceedings of IEEE International Conference on Communications, ICC 2006. Istanbul, Turkey, 2006: 90-96.
FANG C, YU F R, HUANG T, et al. Energy-Efficient distributed in-network caching for content-centric networks[C]//Proc. of the IEEE Conf. on Computer Communications Workshops. Osnabrück, Germany, IEEE, 2014. 91-96.
ADDIS B, CAPONE A, CARELLO G, et al. Energy management through optimized routing and device powering for greener communication networks[J]. IEEE/ACM Trans. on Networking, 2014, 22(1): 313-325. doi: 10.1109/TNET.2013.2249667
BROWN DJ, REAMS C. Toward energy efficient computing[J]. Communications of the ACM, 2010, 53(3): 50-58. doi: 10.1145/1666420. 1666438
GUNARATNE C, CHRISTENSEN K, NORDMAN B, et al. Reducing the energy consumption of Ethernet with adaptive link rate (ALR) [J]. IEEE Trans. on Computers, 2008, 57(4): 448461. doi: 10.1109/TC.2007.70836
SPRING N, MAHAJAN R, WETHERALL D, et al. Measuring isp topologies with rocketfuel [R]. Konstanz, Germany, University of Konstanz, 2004: 2-16.
LUCA C, MELLIA M, NERI F. Minimizing ISP network energy cost: formulation and solutions[C]//IEEE/ACM Transactions on Networking. Piscataway, NJ, 2012: 463-476.
XU D H, CHIANG M, REXFORD J. Link-state routing with hop-by-hop forwarding can achieve optimal traffic engineering[C]//INFOCOM 2008.Phoenix, AZ, USA, : 1717-1730.
WEBB M. Smart 2020: Enabling the low carbon economy in the information age[R]. London : The Climate Group, 2008.
VISHWANATH A, SIVARAMAN V, ZHAO Z, et al. Adapting router buffers for energy efficiency[C]//Proc. of the 7th Conf. on Emerging Networking Experiments and Technologies. New York: ACM Press, 2011.doi: 10.1145/2079296.2079315