Design and Analysis of Hybrid Software Defined Network System for Stability Enhancement
Keywords:
ANN, Software-defined networks (SDNs), Support vector machine algorithm, Multilayer perception algorithm, Bandwidth enhancementAbstract
Software-defined networks (SDNs) facilitate more efficient routing when traffic flows using centralized network view. On the other hand, traditional distributed routing still has the advantage of better scalability, robustness, and swift reaction to events such as failure. Therefore significant potential benefits to adopt a hybrid operation where both distributed and centralized routing mechanisms co-exist. This hybrid operation however imposes a new challenge to network stability since a poor and inconsistent design can lead to repeated route switching when the two control mechanisms take turns to adjust the routes. In this paper, we discuss the ways of solving the stability problem. To develop the stable networking environment three tire routing architecture is proposed. The router stability is enhanced and speed of data transfer is high in this proposed system. The router will analyze the network traffic that occurs during the data transfer and redirect to the other router. The algorithms used in this proposed systems are Support vector machine algorithm and Multilayer perception algorithm. The stability of a hybrid-software defined network involves the consistency between the centralized routing performed by the centralized controller and the distributed routing performed by the individual local routers. If these two control units are not consistent with each other, the routing decision may be overturned repeatedly as they take turns to modify the routes.
References
Mohammad Al-Fares, Sivasankar Radhakrishnan, Barath Raghavan, Nelson Huang, Amin Vahdat, ” Hedera: Dynamic Flow Scheduling for Data Center Networks”, Proc.USENIX NSDI, pp. 89–92, 2016.
V. Mann, A. Vishnoi, K. Kannan, and S. Kalyanaraman,” Seamless VM mobility across data centers through software definednetworking”, Proc. IEEE/IFIP NOMS, pp. 88–96, Apr. 2017.
A. Iyer, P. Kumar, and V. Mann,” Data center multicast using software defined networking”, Proc. IEEE COMSNETS,, pp. 1–8, Jan. 2018.
C.Y.Hong et al, “Achieving High Utilization with Software-Driven WAN”, ACM SIGCOMM Comput. Commun. Rev., vol. 43, no. 4, pp. 15–26, 2018.
S. Jain, A.M. Hegland, E. Winjum, “Experience with a globally-deployed software defined WAN”, ACM SIGCOMM Comput. Commun. Rev., vol. 43, no. 4, pp. 3–14, 2018.
C. J. S. Decusatis, A. Carranza, and C. M. Decussates,” Communication within clouds: Open standards and proprietary protocols for data center networking”, IEEE Commun. Mag., vol. 50, no. 9, pp. 26–33, Sep. 2018.
M. Al-Fares, S. Radhakrishnan, B. Raghavan, N. Huang, and A. Vahdat, “Hedera: Dynamic flow scheduling for data center networks,” in Proc. USENIX NSDI, pp. 89–92, 2010.
V. Mann, A. Vishnoi, K. Kannan, and S. Kalyanaraman, “CrossRoads:Seamless VM mobility across data centers through software definednetworking,” in Proc. IEEE/IFIP NOMS, pp. 88–96, Apr. 2012.
A. Iyer, P. Kumar, and V. Mann, “Avalanche: Data center multicast using software defined networking,” in Proc. IEEE COMSNETS, pp. 1–8, Jan. 2014.
C.-Y. Hong et al., “Achieving high utilization with software-driven WAN,” ACM SIGCOMM Comput. Commun. Rev., vol. 43, no. 4,pp. 15–26, 2013.
S. Jain et al., “B4: Experience with a globally-deployed software defined WAN,” ACM SIGCOMM Comput. Commun. Rev., vol. 43, no. 4, pp. 3–14, 2013.
C. J. S. Decusatis, A. Carranza, and C. M. DeCusatis, “Communicationwithin clouds: Open standards and proprietary protocols for data center networking,” IEEE Commun. Mag., vol. 50, no. 9, pp. 26–33, Sep. 2012.
M.F.Bari et al. , “Data center network virtualization: A survey,” IEEE Commun. Surveys Tuts. , vol. 15, no. 2, pp. 909–928, 2nd Quart., 2013.
R. Jain and S. Paul, “Network virtualization and software defined networking for cloud computing: A survey,” IEEE Commun. Mag. , vol. 51, no. 11, pp. 24–31, Nov. 2013.
D. Kreutz, F. Ramos, P. E. Veríssimo, C. E. Rothenberg, S. Azodolmolky, and S. Uhlig, “Software-defined networking: A comprehensive survey,” Proc. IEEE , vol. 103, no. 1, pp. 14–76, Jan. 2015.
M. Yu, J. Rexford, M. J. Freedman, and J. Wang, “Scalable flow-based networking with DIFANE,” ACM SIGCOMM Comput. Commun. Rev. , vol. 40, no. 4, pp. 351–362, Oct. 2010.
A. R. Curtis, J. C. Mogul, J. Tourrilhes, P. Yalagandula, P. Sharma, and S. Banerjee, “DevoFlow: Scaling flow management for high- performance networks,” Comput. Commun. Rev. , vol. 41, no. 4, pp. 254–265, Aug. 2011.
S. Sezer et al. , “Are we ready for SDN? Implementation challenges for software-defined networks,” IEEE Commun. Mag. , vol. 51, no. 7, pp. 36–43, Jul. 2013.
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors contributing to this journal agree to publish their articles under the Creative Commons Attribution 4.0 International License, allowing third parties to share their work (copy, distribute, transmit) and to adapt it, under the condition that the authors are given credit and that in the event of reuse or distribution, the terms of this license are made clear.
