Performance optimization and simulation of SDN fat tree network based on Dijkstra's algorithm

Fengkun Yu; Xinghao Zeng; Long Cheng

doi:10.1117/12.2628601

21 April 2022 Performance optimization and simulation of SDN fat tree network based on Dijkstra's algorithm

Fengkun Yu, Xinghao Zeng, Long Cheng

Proceedings Volume 12175, International Conference on Network Communication and Information Security (ICNCIS 2021); 121750X (2022) https://doi.org/10.1117/12.2628601
Event: International Conference on Network Communication and Information Security (ICNCIS 2021), 2021, Beijing, China

Abstract

In order to solve the problem of high latency of the SDN fat tree structure in the unit test private network scenario. the adaptability of the Dijkstra algorithm is studied, and the algorithm is combined with OpenFlow flow entries. According to the real-time network global basic information provided by the controller, the data transmission rate of the source node and the destination node in the link is calculated. Recalculate routing paths for newly arrived data streams, allocate flow table resources, and ensure efficient and fast matching and forwarding of link layer data streams. The Mininet simulation platform is used to complete the experimental verification of the proposed method. The results show that this method can optimally plan the data transmission path, and the point-to-point transmission delay of the network can be reduced by more than half compared with before the improvement.

Citation Download Citation

Fengkun Yu, Xinghao Zeng, and Long Cheng "Performance optimization and simulation of SDN fat tree network based on Dijkstra's algorithm", Proc. SPIE 12175, International Conference on Network Communication and Information Security (ICNCIS 2021), 121750X (21 April 2022); https://doi.org/10.1117/12.2628601

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