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A policy based framework for quality of service management in software defined networks

Author

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  • Priyanka Kamboj

    (Indian Institute of Technology)

  • Sujata Pal

    (Indian Institute of Technology)

Abstract

Growth in multimedia traffic over the Internet increases congestion in the network architecture. Software-Defined Networking (SDN) is a novel paradigm that solves the congestion problem and allows the network to be dynamic, intelligent, and it centrally controls the network devices. SDN has many advantages in comparison to traditional networks, such as separation of forwarding and control plane from devices, global centralized control, management of network traffic. We design a policy-based framework to enhance the Quality of Service (QoS) of multimedia traffic flows in a potential SDN environment. We phrase a max-flow-min-cost routing problem to determine the routing paths and presented a heuristic method to route the traffic flows in the network in polynomial time. The framework monitors the QoS parameters of traffic flows and identifies policy violations due to link congestion in the network. The introduced approach dynamically implements policy rules to SDN switches upon detection of policy violations and reroutes the traffic flows. The results illustrate that the framework achieves a reduction in end-to-end delay, average jitter, and QoS violated flows by 24%, 37%, and 25%, respectively, as compared to the Delay Minimization method. Furthermore, the proposed approach has achieved better results when compared to SDN without policy-based framework and reduced end-to-end delay, average jitter, and QoS violated flows by 51%, 62%, and 28%, respectively.

Suggested Citation

  • Priyanka Kamboj & Sujata Pal, 2021. "A policy based framework for quality of service management in software defined networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 78(3), pages 331-349, November.
  • Handle: RePEc:spr:telsys:v:78:y:2021:i:3:d:10.1007_s11235-021-00816-8
    DOI: 10.1007/s11235-021-00816-8
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    References listed on IDEAS

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    1. Jin Y. Yen, 1971. "Finding the K Shortest Loopless Paths in a Network," Management Science, INFORMS, vol. 17(11), pages 712-716, July.
    2. Wu Jiawei & Qiao Xiuquan & Nan Guoshun, 2018. "Dynamic and adaptive multi-path routing algorithm based on software-defined network," International Journal of Distributed Sensor Networks, , vol. 14(10), pages 15501477188, October.
    3. Reza Mohammadi & Reza Javidan & Manijeh Keshtgari & Reza Akbari, 2018. "A novel multicast traffic engineering technique in SDN using TLBO algorithm," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 68(3), pages 583-592, July.
    4. Mudassar Hussain & Nadir Shah, 2018. "Automatic rule installation in case of policy change in software defined networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 68(3), pages 461-477, July.
    5. Alaitz Mendiola & Jasone Astorga & Eduardo Jacob & Kostas Stamos, 2019. "Enhancing network resources utilization and resiliency in multi-domain bandwidth on demand service provisioning using SDN," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 71(3), pages 505-515, July.
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    Cited by:

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