Flow scheduling and network updates in time-sensitive software-defined networks

Tianzheng Nie; Haipeng Yao; Xiaolong Wang; Lin Zhu

doi:10.1117/12.2685088

19 October 2023 Flow scheduling and network updates in time-sensitive software-defined networks

Tianzheng Nie, Haipeng Yao, Xiaolong Wang, Lin Zhu

Proceedings Volume 12709, Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023); 127092O (2023) https://doi.org/10.1117/12.2685088
Event: Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023), 2023, Nanjing, China

Abstract

With the further deepening and upgrading of digitization and informatization of industrial enterprises, the industrial network needs higher flexibility and reliability. As a comprehensive, unified, and standard new industrial Ethernet technology, Time-sensitive network technology makes industrial network technology and industrial ecology more open and dynamic. Time-sensitive Software-defined network introduces the concept of software-defined network based on time-sensitive network, which makes the whole network more real-time and flexible. With the emergence of dynamic applications, time-sensitive networks also need to be updated in real-time. The old update mechanism cannot ensure that the new and old flow is separate from one another, resulting in network congestion. In this paper, a new scheduling update scheme is proposed, which eliminates the conflict between the old and new traffic by separating the old scheduling scheme from the new. The experimental results on two different network topologies show that the update time of the proposed scheduling scheme is shortened by 5.68% compared with the traditional scheduling scheme. The network resource utilization of the two network topologies decreased by 3.3% and 10.02%, respectively.

Citation Download Citation

Tianzheng Nie, Haipeng Yao, Xiaolong Wang, and Lin Zhu "Flow scheduling and network updates in time-sensitive software-defined networks", Proc. SPIE 12709, Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023), 127092O (19 October 2023); https://doi.org/10.1117/12.2685088

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KEYWORDS

Switches

Network architectures

Data transmission

Industrial applications

Telecommunications

Terrain classification

Education and training

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