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Research on Service Function Chain Orchestrating Algorithm Based on SDN and NFV

Yuning Jia*, Yu Gong, Yifei Wei
Beijing Key Laboratory of Work Safety Intelligent Monitoring, Beijing University of Posts and Telecommunications, Beijing, 100876, China
* Corresponding Author: Yuning Jia. Email:

Journal of Quantum Computing 2022, 4(1), 39-52.

Received 25 January 2022; Accepted 27 April 2022; Issue published 12 August 2022


Software defined network (SDN) and network function virtualization (NFV) have become a new paradigm of a new generation of network architecture. SDN and NFV can effectively improve the flexibility of deploying and managing service function chains (SFCs). By combining SDN and NFV and applying them to the resource orchestration problem of SFC deployment, the three-tier architecture consisting of SDN controller, network function virtualization and physical underlying computing resource layer in the process of heterogeneous network resource mapping is considered. And an optimization algorithm for active control resources based on SDN and NFV is proposed. Firstly, the user’s utility is modeled by the multi-standard aggregated multi-criteria utility algorithm, and the optimization goal is transformed into the problem of maximizing the user’s utility. Then the controller, based on the algorithm’s prediction of the future state and real-time monitoring of the network utilization, makes decisions and issues control commands for the arriving SFC requests, based on which it occupies the underlying resources held by the virtualized network function (VNF). The simulation results show that, compared with the static timing resource allocation algorithm, the active control resource deployment algorithm proposed in the article has better performance in terms of resource utilization, acceptance rate, and user creation utility.


SDN; NFV; service function chain; resource allocation

Cite This Article

Y. Jia, Y. Gong and Y. Wei, "Research on service function chain orchestrating algorithm based on sdn and nfv," Journal of Quantum Computing, vol. 4, no.1, pp. 39–52, 2022.

This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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