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Quantitative assessment model on path assignment for SDNs

  • Computer Science
  • Published:
Wuhan University Journal of Natural Sciences

Abstract

Software defined networking (SDN) has emerged as an efficient network technology for lowering operating cost through simplified hardware, software and management. Specific research focus has been placed to achieve a successful carrier grade network with SDN, in terms of scalability, reliability, QoS and service management. In this paper, graph theory and traffic engineering are used to model the network state transitions and path assignment problem at first. Next, we present a quantitative assessment model on path assignment for a centralized controller to assess different kinds of path assignments, considering optimal path utilization, network load balance, network load volatility, and resource utilization simultaneously. In the end, an example forquantitatively assessing existing different path assignments is detailed to illustrate our proposed model.

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References

  1. Bari M F, Roy A R, Chowdhury S R, et al. Dynamic controller provisioning in software defined networks [C] // 2013 9th International Conference on Network and Service Management (CNSM). Washington D C: IEEE Press, 2013: 18–25.

    Google Scholar 

  2. Gude N, Koponen T, Pettit J, et al. NOX: towards an operating system for networks [J]. ACM SIGCOMM Computer Communication Review, 2008, 38(3): 105–110.

    Article  Google Scholar 

  3. Trivisonno R, Vaishnavi I, Guerzoni R, et al. Virtual links mapping in future SDN-enabled networks [C] // 2013 IEEE SDN for Future Networks and Services (SDN4FNS). Washington D C: IEEE Press, 2013: 1–5.

    Chapter  Google Scholar 

  4. Kanagavelu R, Mingjie L N, Mi K M, et al. OpenFlow based control for re-routing with differentiated flows in data center networks [C] // 2012 18th IEEE International Conference on Networks (ICON). Washington D C: IEEE Press, 2012: 228–233.

    Chapter  Google Scholar 

  5. Jin H, Pan D, Liu J, et al. Openflow-based flow-level bandwidth provisioning for cicqswitches [J]. IEEE Transactions on Computers, 2013, 62(9): 1799–1812.

    Article  Google Scholar 

  6. Handigol N, Seetharaman S, Flajslik M, et al. Plug-n-Serve: Load-balancing web traffic using OpenFlow [J]. ACM SigcommDemo, 2009, 4(5): 6.

    Google Scholar 

  7. Giorgetti A, Cugini F, Paolucci F, et al. OpenFlow and PCE architectures in wavelength switched optical networks [C] // 2012 16th International Conference on Optical Network Design and Modeling (ONDM). Washington D C: IEEE Press, 2012: 1–6.

    Chapter  Google Scholar 

  8. Egilmez H E, Dane S T, Bagci K T, et al. OpenQoS: An OpenFlow controller design for multimedia delivery with end-to-end quality of service over software-defined networks [C] // Signal & Information Processing Association Annual Summit and Conference (APSIPA ASC), 2012 Asia-Pacific. Washington D C: IEEE Press, 2012: 1–8.

    Google Scholar 

  9. Ramos R M, Martinello M, Esteve Rothenberg C. Slickflow: Resilient source routing in data center networks unlocked by openflow [C] // 2013 IEEE 38th Conference on Local Computer Networks (LCN). Washington D C: IEEE Press, 2013: 606–613.

    Google Scholar 

  10. Lee S S W, Li K Y, Chan K Y, et al. Path layout planning and software based fast failure detection in survivable OpenFlow networks [C] // 2014 10th International Conference on the Design of Reliable Communication Networks (DRCN). Washington D C: IEEE Press, 2014: 1–8.

    Google Scholar 

  11. Cohen R, Lewin-Eytan L, Naor J S, et al. On the effect of forwarding table size on SDN network utilization [C] // INFOCOM, 2014 Proceedings IEEE. Washington D C: IEEE, 2014: 1734–1742.

    Chapter  Google Scholar 

  12. Malboubi M, Wang L, Chuah C N, et al. Intelligent SDN based traffic (de) aggregation and measurement paradigm (istamp) [C] // INFOCOM, 2014 Proceedings IEEE. Washington D C: IEEE Press, 2014: 934–942.

    Chapter  Google Scholar 

  13. Oki E, Inoue I, Shiomoto K. Path computation element (PCE)-based traffic engineering in MPLS and GMPLS networks [C] // Sarnoff Symposium, 2007 IEEE. Washington D C: IEEE Press, 2007: 1–5.

    Chapter  Google Scholar 

  14. Banerjee G, Sidhu D. Comparative analysis of path computation techniques for MPLS traffic engineering [J]. Computer Networks, 2002, 40(1): 149–165.

    Article  Google Scholar 

  15. Beker S, Puech N, Friderikos V. A Tabu search heuristic for the offline MPLS reduced complexity layout design problem [C] // Networking 2004. Berlin, Heidelberg: Springer-Verlag, 2004: 514–525.

    Google Scholar 

  16. Sezer S, Scott-Hayward S, Chouhan P K, et al. Are we ready for SDN? Implementation challenges for software-defined networks [J]. Communications Magazine, 2013,51(7): 36–43.

    Article  Google Scholar 

  17. Li J, Chang X, Ren Y, et al. An effective path load balancing mechanism based on SDN [C] // 2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom). Washington D C: IEEE Press, 2014: 527–533.

    Google Scholar 

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Correspondence to Chuanhe Huang.

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Foundation item: Supported by the National Natural Science Foundation of China (61373040, 61173137), the Ph.D. Programs Foundation of Ministry of Education of China (20120141110002), and the Key Project of Natural Science Foundation of Hubei Province (2010CDA004)

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Wang, X., Huang, C., Shi, J. et al. Quantitative assessment model on path assignment for SDNs. Wuhan Univ. J. Nat. Sci. 21, 387–393 (2016). https://doi.org/10.1007/s11859-016-1185-2

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  • DOI: https://doi.org/10.1007/s11859-016-1185-2

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