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An SDN-based energy-aware traffic management mechanism

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Abstract

Green computing is a central theme in many computer science areas, including computer networks. Dynamic solutions that can properly adjust network resources can prevent infrastructure over-provision and mitigate power consumption during low-demand periods. In this work, we propose DTM (Dynamic mechanism for Traffic Management), an energy-aware dynamic mechanism for traffic management, built upon the SDN paradigm. DTM continuously monitors the use of network links to concentrate traffic and disconnect idle equipment without degrading the offered quality of service. Our simulations show that the mechanism can save up to 46% of energy, on average, in the links’ capacities of homogeneous and heterogeneous scenarios. In scenarios with average to high traffic demands, the mean energy savings are 36.72% and 17.86%, respectively. Compared to a well-known existing mechanism, our approach is up to 7% better for medium-demand scenarios, and approximately 4% better for high-demand scenarios.

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Notes

  1. http://mininet.org

  2. https://www.openvswitch.org/

References

  1. Assefa BG, Özkasap Ö (2019) A survey of energy efficiency in sdn software-based methods and optimization models. J Netw Comput Appl 137:127–143

    Article  Google Scholar 

  2. Tuysuz MF, Ankarali ZK, Gözüpek D (2017) A survey on energy efficiency in software defined networks. Comput Netw 113:188–204

    Article  Google Scholar 

  3. Costa Leonardo C., Vieira Alex B., Silva Erik de Britto e, Macedo Daniel F., Gomes Geraldo, Correia Luiz H. A., Vieira Luiz F. M. (2017) Performance evaluation of OpenFlow data planes. In: IFIP/IEEE IM), pp 470–475

  4. Addis B, Capone A, Carello G, Gianoli LG (2016) B Sansò. Energy management in communication networks: a journey through modeling and optimization glasses. Comput Commun 91–92:76–94

    Article  Google Scholar 

  5. Sasaki S, Ogura K, Bista BB, Takata T (2015) A proposal of QoS-aware power saving scheme for SDN-based networks. In: NBiS, pp 405–410

  6. Fisher W, Suchara M, Rexford J (2010) Greening backbone networks: reducing energy consumption by shutting off cables in bundled links. In: ACM SIGCOMM Workshops, pp 29–34

  7. Markiewicz A, Tran PN, Timm-Giel A (2014) Energy consumption optimization for software defined networks considering dynamic traffic. In: IEEE CloudNet, pp 155–160

  8. Lin G, Soh S, Chin K-W, Lazarescu M (2013) Efficient heuristics for energy-aware routing in networks bundled links. Comput Netw 57(8):1774–1788

    Article  Google Scholar 

  9. Heller B, Seetharaman S, Mahadevan P, Yiakoumis Y, Sharma P, Banerjee S, Elastictree NM (2010) Saving energy in data center networks. In: USENIX NSDI, pp 1–17

  10. Fernández-Fernández A, Cervelló-Pastor C, Ochoa-Aday L (2016) Improved energy-aware routing algorithm in software-defined networks. In: IEEE LCN, pp 196–199

  11. Habibullah KM, Rondeau E, Georges J-P (2018) Reducing energy consumption of network infrastructure using spectral approach. In: Dastbaz M, Arabnia H, Akhgar B (eds) Technology for Smart Futures. Springer, Cham, pp 235–250

  12. Oliveira AT, Martins BJCA, Moreno MF, Gomes ATA, Ziviani A, Vieira AB (2019) SDN-based architecture for providing quality of service to high-performance distributed applications. Int J Netw Manag e2078. https://doi.org/10.1002/nem.2078

  13. Son J, Dastjerdi AV, Calheiros RN, Buyya R (2017) Sla-aware and energy-efficient dynamic overbooking in sdn-based cloud data centers. IEEE Trans Sustain Comput 2(2):76–89

    Article  Google Scholar 

  14. Xu G, Dai B, Huang B, Yang J, Wen S (2017) Bandwidth-aware energy efficient flow scheduling with sdn in data center networks. Future Gener Comput Syst 68:163–174

    Article  Google Scholar 

  15. Jia X, Jiang Y, Guo Z, Shen G, Wang L (2018) Intelligent path control for energy-saving in hybrid sdn networks. Comput Netw 131:65–76

    Article  Google Scholar 

  16. Bianzino AP, Chaudet C, Rossi D, Rougier J-L (2010) A survey of green networking research. IEEE Commun Surv Tutor 14(1):3–20

    Article  Google Scholar 

  17. Mahadevan P, Sharma P, Banerjee S, Ranganathan P (2009) Energy aware network operations. In: IEEE INFOCOM, pp 25–30

  18. Botta A, Dainotti A, Pescapè A (2012) A tool for the generation of realistic network workload for emerging networking scenarios. Comput Netw 56(15):3531–3547

    Article  Google Scholar 

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Authors and Affiliations

  1. Computer Science Department, Universidade Federal de Juiz de Fora, Juiz de Fora, Brazil

    Alex B. Vieira, Wallace Nascimento Paraizo, Luciano Jerez Chaves & Edelberto Franco Silva

  2. Computer Science Department, Universidade Federal de Lavras, Lavras, Brazil

    Luiz H. A. Correia

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  1. Alex B. Vieira
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  2. Wallace Nascimento Paraizo
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  3. Luciano Jerez Chaves
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  4. Luiz H. A. Correia
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  5. Edelberto Franco Silva
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Correspondence to Alex B. Vieira.

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Vieira, A.B., Paraizo, W.N., Chaves, L.J. et al. An SDN-based energy-aware traffic management mechanism. Ann. Telecommun. 77, 139–150 (2022). https://doi.org/10.1007/s12243-021-00863-x

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  • DOI: https://doi.org/10.1007/s12243-021-00863-x

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