Study of optimization parameters for service chaining in cloud environment

  • Authors

    • Prathamesh Purohit
    • Ruturaj Kadikar
    • M Susila
    • B Amutha
    2018-03-10
    https://doi.org/10.14419/ijet.v7i2.4.13037
  • Software-Defined Networking, Network Function Virtualization, Quality of Service, Quality of Experience

  • Abstract

    and it is growing towards integration of 5G technology in near future. Therefore, to improve the quality of experience for viewing the content over the internet requires dynamic allocation and adaptation of network resources in an optimized manner. Traditional IP networks are vertically integrated hence flexibility in network resources management is very less. Software-defined networking (SDN) as an emerging technology, which comes with the promise of the solution to dynamically govern various network resources by breaking this chain or hierarchy of vertical integration. Network function virtualization along with service chain optimization provides the solution to enhance the Quality of Experience (QoE) and Quality of Service (QoS). In this paper, we are proposing an approach to improve the QoE by ameliorating the service chain and data center parameters.

     

     

  • References

    1. [1] V. Sekar, N. Egi, S. Ratnasamy, M. K. Reiter, and G. Shi, “Design and implementation of a consolidated middlebox architecture,†in Proceedings of the ninth USENIX conference on NSDI, 2012, pp. 24–24.

      [2] Huang, H., Guo, S., Wu, J. and Li, J., 2017. Service chaining for hybrid network function. IEEE Transactions on Cloud Computing.

      [3] J. Halpern and C. Pignataro, “Service function chaining (sfc) architecture,†IETF, Tech. Rep., 2015.

      [4] Benson, T., Akella, A. and Maltz, D.A., 2009, April. Unraveling the Complexity of Network Management. In NSDI (pp. 335-348).

      [5] Kreutz, D., Ramos, F.M., Verissimo, P.E., Rothenberg, C.E., Azodolmolky, S. and Uhlig, S., 2015. Software-defined networking: A comprehensive survey. Proceedings of the IEEE, 103(1), pp.14-76.

      [6] Duan, Q., Ansari, N. and Toy, M., 2016. Software-defined network virtualization: An architectural framework for integrating SDN and NFV for service provisioning in future networks. IEEE Network, 30(5), pp.10-16.

      [7] Xie, L., Jiang, Y., Wang, B., Xiong, G. and Cheng, G., 2016. An approach for network function combination based on least busy placement algorithm. China Communications, 13(Supplement 1), pp.167-176.

      [8] Lin, P.C., Lin, Y.D., Wu, C.Y., Lai, Y.C. and Kao, Y.C., 2016. Balanced service chaining in software-defined networks with network function virtualization. Computer, 49(11), pp.68-76.

      [9] Bi, J., Zhu, S., Sun, C., Yao, G. and Hu, H., 2016. Supporting virtualized network functions with stateful data plane abstraction. IEEE Network, 30(3), pp.40-45.

      [10] Scheid, E.J., Machado, C.C., Franco, M.F., dos Santos, R.L., Pfitscher, R.P., Schaeffer-Filho, A.E. and Granville, L.Z., 2017, May. INSpIRE: Integrated NFV-baSed Intent Refinement Environment. In-Integrated Network and Service Management (IM), 2017 IFIP/IEEE Symposium on (pp. 186-194). IEEE.

      [11] Azodolmolky, S., 2013. Software defined networking with OpenFlow. Packt Publishing Ltd.

      [12] Martini, B., Paganelli, F., Mohammed, A.A., Gharbaoui, M., Sgambelluri, A. and Castoldi, P., 2015, April. SDN controller for context-aware data delivery in dynamic service chaining. In Network Softwarization (NetSoft), 2015 1st IEEE Conference on (pp. 1-5). IEEE.

      [13] Akyildiz, I.F., Melodia, T. and Chowdhury, K.R., 2007. A survey on wireless multimedia sensor networks. Computer networks, 51(4), pp.921-960.

      [14] Surendra Kumar, San Ramon, CA (US); Nagaraj Bagepalli, Fremont, CA (US); Abhijit Patra, Saratoga, CA (US); Paul Quinn, Wellesley, MA (US); James Guichard, New Boston, NH (US); JayaramanIyer, San Jose, CA (US), (Jul.30, 2015), US 2015/0215172 A1, CIS- TECHNOLOGY, INC., San Jose, CA (US).

      [15] Belmiro Moreira, April 2014, “OpenStack trainingâ€.

      [16] Buyya, R., Yeo, C.S., Venugopal, S., Broberg, J. and Brandic, I., 2009. Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the fifth utility. Future Generation computer systems, 25(6), pp.599-616.

      [17] Son, J., Dastjerdi, A.V., Calheiros, R.N., Ji, X., Yoon, Y. and Buyya, R., 2015, May. Cloudsimsdn: Modeling and simulation of software-defined cloud data centers. In Cluster, Cloud and Grid Computing (CCGrid), 2015 15th IEEE/ACM International Symposium on (pp. 475-484). IEEE.

      [18] A. Kapadia and N. Chase, Understanding OPNFV: Accelerate NFV Transformation using OPNFV. 2017.

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  • How to Cite

    Purohit, P., Kadikar, R., Susila, M., & Amutha, B. (2018). Study of optimization parameters for service chaining in cloud environment. International Journal of Engineering & Technology, 7(2.4), 190-195. https://doi.org/10.14419/ijet.v7i2.4.13037

    Received date: 2018-05-18

    Accepted date: 2018-05-18

    Published date: 2018-03-10