基于运维数据的网络数据流智能监控系统设计
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摘要
为了提高的动态多核异构网络数据流智能监控和传输控制能力,提出基于运维数据的网络数据流智能监控系统设计方法。构建网络数据流智能传输控制模型,采用传感信息融合采样方法进行网络数据流的运维数据采样,对采集的网络运维数据进行模糊聚类处理,根据不同的分类属性进行网络运维数据的关联特征提取,挖掘网络运维数据的异常图谱信息,采用自适应判决反馈均衡器进行网络数据流的智能信息传输控制和均衡调度,实现对网络数据流智能监控识别,提高网络数据流智能运维管理能力。采用可编程逻辑处理芯片进行网络数据流运维的智能监控系统的处理器设计,设计网络数据流智能监控系统的主控模块、数据收发模块、接收器模块和人机交互模块,在集成ARM环境中进行系统开发设计。仿真结果表明,设计的网络数据流智能监控系统能提高数据传输的均衡性,降低网络输出误码率,提高网络数据传输质量。
In order to improve the ability of network data flow intelligent monitoring and transmission control,a design method of network data flow intelligent monitoring system based on operation and maintenance data is proposed. The intelligent transmission control model of network data flow is constructed. The sensor information fusion sampling method is used to sample the operation and maintenance data of the network data stream,and the collected network operation and maintenance data are processed by fuzzy clustering. According to different classification attributes,the association feature of network operation and maintenance data is extracted,and the abnormal graph information of network operation and maintenance data is mined. The adaptive decision feedback equalizer is used to control and balance the intelligent information transmission and scheduling of network data stream. The intelligent monitoring and identification of network data flow is realized,and the ability of intelligent operation and maintenance management of network data stream is improved. The processor of intelligent monitoring system for network data flow operation and maintenance is designed with programmable logic processing chip. The main control module,data transceiver module,receiver module and man-machine interaction module of network data flow intelligent monitoring system are designed. The system is developed and designed in the integrated ARM environment. The simulation results show that the designed intelligentmonitoring system of network data flow can improve the balance of data transmission,reduce the error rate of network output and improve the quality of network data transmission.
In order to improve the ability of network data flow intelligent monitoring and transmission control,a design method of network data flow intelligent monitoring system based on operation and maintenance data is proposed. The intelligent transmission control model of network data flow is constructed. The sensor information fusion sampling method is used to sample the operation and maintenance data of the network data stream,and the collected network operation and maintenance data are processed by fuzzy clustering. According to different classification attributes,the association feature of network operation and maintenance data is extracted,and the abnormal graph information of network operation and maintenance data is mined. The adaptive decision feedback equalizer is used to control and balance the intelligent information transmission and scheduling of network data stream. The intelligent monitoring and identification of network data flow is realized,and the ability of intelligent operation and maintenance management of network data stream is improved. The processor of intelligent monitoring system for network data flow operation and maintenance is designed with programmable logic processing chip. The main control module,data transceiver module,receiver module and man-machine interaction module of network data flow intelligent monitoring system are designed. The system is developed and designed in the integrated ARM environment. The simulation results show that the designed intelligentmonitoring system of network data flow can improve the balance of data transmission,reduce the error rate of network output and improve the quality of network data transmission.
引文
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[2]陈书阳,冯海林.多路径网络编码的传输可靠性提高策略[J].四川大学学报(自然科学版),2018,55(04):712-718.
[3]孙彦景,渠倩倩,王博文,左海维,王晓琳.一种带内全双工无线网络MAC机制及性能分析[J].西安电子科技大学学报,2018,45(03):123-129.
[4]陈昌海,李娜娜,王静,李振锋.无线Ad Hoc网络中双向传输容量的研究[J].郑州大学学报(工学版),2017,38(06):6-10.
[5]倪梦,杨丽花,周颖,等.基于时空压缩网络编码的数据传输与恢复方法[J].南京邮电大学学报(自然科学版),2018,38(03):26-31.
[6]李梓杨,于炯,卞琛,王跃飞,鲁亮.基于负载感知的数据流动态负载均衡策略[J].计算机应用,2017,37(10):2760-2766.
[7]潘沭铭,贾濡,石秀,赵兴利.智慧协同网络负载均衡流量适配方法研究及测试[J].中国电子科学研究院学报,2018,13(05):555-561.
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