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An Optimization Method of Large-Scale Video Stream Concurrent Transmission for Edge Computing

Author

Listed:
  • Haitao Liu

    (Business School, University of Shanghai for Science and Technology, Shanghai 200093, China
    Office of Information, Linyi University, Linyi 276002, China)

  • Qingkui Chen

    (Business School, University of Shanghai for Science and Technology, Shanghai 200093, China
    School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China)

  • Puchen Liu

    (Department of Applied Statistics, Shanghai Polytechnic University, Shanghai 201209, China)

Abstract

Concurrent access to large-scale video data streams in edge computing is an important application scenario that currently faces a high cost of network access equipment and high data packet loss rate. To solve this problem, a low-cost link aggregation video stream data concurrent transmission method is proposed. Data Plane Development Kit (DPDK) technology supports the concurrent receiving and forwarding function of multiple Network Interface Cards (NICs). The Q-learning data stream scheduling model is proposed to solve the load scheduling of multiple queues of multiple NICs. The Central Processing Unit (CPU) transmission processing unit was dynamically selected by data stream classification, as well as a reward function, to achieve the dynamic load balancing of data stream transmission. The experiments conducted demonstrate that this method expands the bandwidth by 3.6 times over the benchmark scheme for a single network port, and reduces the average CPU load ratio by 18%. Compared to the UDP and DPDK schemes, it lowers the average system latency by 21%, reduces the data transmission packet loss rate by 0.48%, and improves the overall system transmission throughput. This transmission optimization scheme can be applied in data centers and edge computing clusters to improve the communication performance of big data processing.

Suggested Citation

  • Haitao Liu & Qingkui Chen & Puchen Liu, 2023. "An Optimization Method of Large-Scale Video Stream Concurrent Transmission for Edge Computing," Mathematics, MDPI, vol. 11(12), pages 1-20, June.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:12:p:2622-:d:1166745
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    References listed on IDEAS

    as
    1. Chuanhong Li & Lei Song & Xuewen Zeng, 2021. "An Adaptive Throughput-First Packet Scheduling Algorithm for DPDK-Based Packet Processing Systems," Future Internet, MDPI, vol. 13(3), pages 1-13, March.
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