摘要
分布式大数据控制受到信道数量影响易产生不同步现象,导致信道控制性能较差,设计一种云计算环境下分布式大数据多信道并行控制系统;系统硬件:节点处理模块由FPGA芯片以及抗干扰器组成;无线通信模块主要由射频芯片与无线收发器组成;USB模块由接口芯片、寄存器、存储芯片以及周边电路构成;系统软件:分布式大数据多信道数据存储与处理模块的构成同步存储数据单元与数据多路实时处理单元;多信道并行控制模块主要由多信道并行管理单元、多信道状态扫查单元以及生成数据流单元构成;通过硬件与软件相结合实现了分布式大数据多信道并行控制;实验结果证明,分布式大数据信道平均传输速率数据则分布、保持的较为均匀,实现了性能提升。
The influence of the number of channels received by distributed big data control is easy to produce asynchronous phenomenon,which leads to poor performance of channel control.System hardware:node processing module consists of FPGA chip and anti-jamming device;wireless communication module consists of RF chip and wireless transceiver;USB module consists of interface chip,register,memory chip and peripheral circuit.System software:the distributed big data multi-channel data storage and processing module is composed of synchronous storage data unit and data multi-channel real-time processing unit;the multi-channel parallel control module is mainly composed of multi-channel parallel management unit,multi-channel state scanning unit and generating data flow unit.Through the combination of hardware and software,the distributed large data multi-channel parallel control is realized.The experimental results show that the average transmission rate data of the distributed big data channel is more evenly distributed and maintained,and the performance is improved.
作者
李玉亭
Li Yuting(College of Law,Yunnan University,Kunming 650500,China;Modern Educational Technology Center,Qinghai Vocational of Police Officers,Xining 810000,China)
出处
《计算机测量与控制》
2020年第10期116-119,134,共5页
Computer Measurement &Control
关键词
云计算环境
分布式大数据
多信道
并行控制
多路处理
同步存储
cloud computing environment
distributed big data
multichannel
parallel control
multiplexing
synchronous storage
