基于MLVDS和USB3.0的大数据高并发传输控制系统设计
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西安思源学院 理工学院

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Design of high concurrency big data transmission control system based on MLVDS and USB3.0 Wang Yujun
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    摘要:

    为解决网络主机大数据样本单位并发量有限的问题,有效控制大数据高并发传输数据参量,设计了基于MLVDS和USB3.0的大数据高并发传输控制系统。在Web服务器架构中,接入MLVDS驱动器与并行接收器设备,并联合相关应用元件,调度可移动网关的主控模块,完成大数据高并发传输控制系统的硬件结构设计。利用USB3.0控制芯片,完善接口电路组织的连接回路,完成基于USB3.0的控制电路搭建。设置MySQL数据库表单,借助TCP/IP协议,处理大数据并发文本,再联合相关大数据参量,定义INF传输控制指令,实现对传输控制行为的分析。结合相关硬件结构,完成基于MLVDS和USB3.0的大数据高并发传输控制系统的设计。实验结果表明,设计系统可提升大数据样本顺序和逆序并发量的均值水平,解决了大数据样本单位并发量有限的问题,有效控制大数据高并发传输数据参量。

    Abstract:

    To solve the problem of limited concurrency per unit of big data samples in network hosts and effectively control the high concurrency transmission data parameters of big data, a big data high concurrency transmission control system based on MLVDS and USB3.0 was designed. In the web server architecture, MLVDS drivers and parallel receiver devices are connected, and relevant application components are combined to schedule the main control module of the mobile gateway, completing the hardware structure design of the high concurrency transmission control system for big data. Utilize the USB3.0 control chip to improve the connection circuit of interface circuit organization, and complete the construction of control circuits based on USB3.0. Set up MySQL database forms, use TCP/IP protocol to process concurrent text of big data, and then combine relevant big data parameters to define INF transmission control instructions to analyze transmission control behavior. Combining relevant hardware structures, complete the design of a high concurrency transmission control system for big data based on MLVDS and USB3.0. The experimental results show that the design system can improve the average level of the order and reverse concurrency of big data samples, solve the problem of limited concurrency per unit of big data samples, and effectively control the high concurrency transmission data parameters of big data.

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王育军.基于MLVDS和USB3.0的大数据高并发传输控制系统设计计算机测量与控制[J].,2024,32(4):81-86.

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  • 收稿日期:2023-04-24
  • 最后修改日期:2023-06-02
  • 录用日期:2023-06-02
  • 在线发布日期: 2024-04-29
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