基于大数据平台的信令数据采集技术研究
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摘要
针对现有信令数据采集技术所面临的海量数据采集需求以及存储困难等问题,文中研究了基于大数据平台的信令数据采集技术。设计了基于大数据平台的信令监测系统架构,并分析了信令监测系统的大数据解决方案。另外,文中进一步划分了基于大数据平台的信令数据采集架构,主要包括大数据信令采集架构、大数据信令采集模式以及大数据信令采集内容3部分。所设计的面向大数据平台的信令数据采集技术架构可以有效适用于海量信令数据采集场景,为实现大规模分布式信令数据采集提供了工具。
Aiming at the problems of mass data acquisition requirements and storage difficulties faced by existing signaling data acquisition technology, this paper studied signaling data acquisition technology based on big data platform. Firstly, this paper designed the architecture of signaling monitoring system based on big data platform and analyses the solution of big data of signaling monitoring system. In addition, further divides the signaling data acquisition architecture based on big data platform, which mainly included three parts: big data signaling acquisition architecture, big data signaling acquisition mode and big data signaling acquisition content. The architecture of signaling data acquisition technology for large data platform designed in this paper could be effectively applied to massive signaling data acquisition scenarios and provide tools for large-scale distributed signaling data acquisition.
Aiming at the problems of mass data acquisition requirements and storage difficulties faced by existing signaling data acquisition technology, this paper studied signaling data acquisition technology based on big data platform. Firstly, this paper designed the architecture of signaling monitoring system based on big data platform and analyses the solution of big data of signaling monitoring system. In addition, further divides the signaling data acquisition architecture based on big data platform, which mainly included three parts: big data signaling acquisition architecture, big data signaling acquisition mode and big data signaling acquisition content. The architecture of signaling data acquisition technology for large data platform designed in this paper could be effectively applied to massive signaling data acquisition scenarios and provide tools for large-scale distributed signaling data acquisition.
引文
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[10] 沈建良,陆春光,袁健,等.大数据技术在电力大用户用电特征分类中的应用[J].浙江电力,2017,36(12):37-41.Shen Jianliang,Lu Chunguang,Yuan Jian,et al.Application of big data technology in classification of electricity characteristic of large power users [J].Zhejiang Electric Power,2017,36(12):37-41.
[2] 魏进武,张云勇.基于大数据的信令监测系统研究[J].邮电设计技术,2014(7):47-52.Wei Jinwu,Zhang Yunyong.Research on signaling monitoring system based on big data[J].Postal and Telecommunication Design Technology,2014(7):47-52.
[3] 王彪,桑宏伟,刘占强.基于网络大数据对移动用户DNS性能的研究[J].电信技术,2017(7):11-14.Wang Biao,Sang Hongwei,Liu Zhanqiang.Research on DNS performance of mobile users based on large network data[J].Telecom Technology,2017(7):11-14.
[4] 毛少帅,黄海,况鹏,等.一种信令网关系统的设计与实现方法[J].电子设计工程,2016,24(24):180-182.Mao Shaoshuai,Huang Hai,Kuang Peng,et al.Design and implementation of a signaling gateway system[J].Electronic Design Engineering,2016,24(24):180-182.
[5] 董斌,杨迪,王铮,等.流计算大数据技术在运营商实时信令处理中的应用[J].电信科学,2015,31(10):165-171.Dong Bin,Yang Di,Wang Zheng,et al.Application of stream computing big data technology in real-time signaling processing of operators [J].Telecommunications Science,2015,31(10):165-171.
[6] 彭莎莎.基于高速有损信令系统的最大失真分析算法[J].电子科技,2013,26(3):124-127.Peng Shasha.Maximum distortion analysis algorithm based on high-speed lossy signaling system[J].Electronic Science and Technology,2013,26(3):124-127.
[7] 韦茂源,李蔚,卢沛杨,等.运营商基于信令大数据的关系嗅探方案[J].移动通信,2017,41(2):92-96.Wei Maoyuan,Li Wei,Lu Peiyang,et al.Operators' relational sniffing scheme based on big signaling data[J].Mobile Communications,2017,41(2):92-96.
[8] 吕梦蛟.基于移动通信基站大数据的高速公路交通状态采集研究与应用[J].中国新通信,2016,18(6):38-40.Lü Mengjiao.Research and application of freeway traffic state acquisition based on large data of mobile communication base station[J].China New Communications,2016,18(6):38-40.
[9] 陈子轩,梁安波.基于大数据的用电信息采集运维监测系统设计[J].电子设计工程,2018,26(13):43-46,52.Chen Zixuan,Liang Anbo.Design of a monitoring system for electricity information collection and operation based on large data[J].Electronic Design Engineering,2018,26(13):43-46,52.
[10] 沈建良,陆春光,袁健,等.大数据技术在电力大用户用电特征分类中的应用[J].浙江电力,2017,36(12):37-41.Shen Jianliang,Lu Chunguang,Yuan Jian,et al.Application of big data technology in classification of electricity characteristic of large power users [J].Zhejiang Electric Power,2017,36(12):37-41.