移动核心网性能分析预警系统的设计与实现
发布时间：2018-12-16 22:50
【摘要】：近年来,随着移动通信网络的发展,移动网络结构越来越复杂,用户对网络质量要求也越来越高,因此移动网络维护变得越来越重要。传统的响应式故障处理已经无法满足运营商对网络质量的要求,如何掌握网络实时运行状况,将网络性能隐患进行主动预警,将用户投诉前移是当前运营商急需解决的重要问题。本文针对中国移动某市MSC Pool的移动网络结构,设计一套移动核心网性能分析预警系统,用于监测核心网性能指标变化,对异常的指标进行预警,以便网络维护人员尽早分析、处理,减少故障发生。移动核心网性能分析预警系统主要由数据获取模块、KPI计算模块、预警预判模块、邮件分发模块和数据呈现模块组成。数据获取模块定时通过FTP协议下载移动核心网设备MSC Server的数据文件,保存到本地目录中。KPI计算模块读取下载完成的文件,并根据配置的KPI公式进行KPI计算,将指标值保存到数据库中,KPI公式可由用户进行自由配置。预警预判模块用于将实时计算的KPI指标与设定的预警门限比较,超过门限则产生预警,并按照网络结构将预警汇总为预判,用于反映网络整体状况。本系统采用两级预警,即高级别预警和低级别预警,采用静态门限和动态门限结合作为预警门限。静态门限由用户进行配置,动态门限采用时间序列分解及K中心点聚类算法计算得到。邮件分发模块用于将网络状况通过邮件分发给相应工作人员,以便其及时分析处理。数据呈现模块用于人机交互,主要供用户进行KPI指标、预警预判查询和KPI配置、系统配置。本系统采用Visual Studio 2008作为开发平台,VC++作为开发语言,数据库采用SQL Server 2008,采用Matlab R2013a作为算法仿真平台。本文实现的移动核心网性能分析预警系统,在中国移动某市进行现场测试调整后,已经正式上线运行2年左右,系统每15分钟进行一次性能获取,每次计算用时小于2分钟。运行结果表明,各个模块均运行正常,对于系统异常情况能够自动处理；计算指标正确,为用户分析网络状况提供了可靠的依据；本文提出的动态门限算法能够准确预警,为用户提前发现网络故障提供了依据,适合用于移动网络性能预警。
[Abstract]:In recent years, with the development of mobile communication network, the mobile network structure is becoming more and more complex, and users are demanding more and more high quality of the network, so the maintenance of mobile network becomes more and more important. The traditional response fault processing has been unable to meet the network quality requirements of operators, how to grasp the real-time operation of the network, the network performance hidden dangers for active early warning, It is an important problem for operators to move forward customer complaints. Aiming at the mobile network structure of MSC Pool in a certain city of China Mobile, this paper designs a set of mobile core network performance analysis and warning system, which is used to monitor the change of core network performance index, to warn the abnormal index, so that network maintainers can analyze it as soon as possible. Deal with, reduce the occurrence of failure. The early warning system for mobile core network performance analysis is mainly composed of data acquisition module, KPI computing module, early warning prejudgment module, mail distribution module and data presentation module. The data acquisition module periodically downloads the data files of the mobile core network device MSC Server through the FTP protocol, saves them to the local directory. The KPI computing module reads the downloaded files, and calculates the KPI according to the configured KPI formula. Save the index value to the database, the KPI formula can be freely configured by the user. The early warning prejudgment module is used to compare the KPI index calculated in real time with the set early warning threshold, and when the threshold is exceeded, the early warning is generated, and the early warning is summarized into pre-judgment according to the network structure, which is used to reflect the overall situation of the network. The system adopts two levels of early warning, namely, high level early warning and low level early warning, and uses static threshold and dynamic threshold as early warning threshold. The static threshold is configured by the user, and the dynamic threshold is calculated by time series decomposition and K-center clustering algorithm. The mail distribution module is used to distribute the network status to the corresponding staff through mail so that it can be analyzed and processed in a timely manner. Data presentation module is used for man-machine interaction, mainly for users to carry out KPI index, early warning query and KPI configuration, system configuration. The system uses Visual Studio 2008 as the development platform, VC as the development language, SQL Server 2008 as the database and Matlab R2013a as the algorithm simulation platform. The performance analysis and early warning system of mobile core network realized in this paper has been formally put into operation for about 2 years after field test and adjustment in a certain city of China Mobile. The system can be obtained once every 15 minutes, and the time of calculation is less than 2 minutes each time. The running results show that each module is running normally and can automatically handle the abnormal situation of the system, and the calculation index is correct, which provides a reliable basis for the user to analyze the network condition. The dynamic threshold algorithm proposed in this paper can accurately warn users, which provides a basis for users to detect network faults in advance, and is suitable for early warning of mobile network performance.
【学位授予单位】：大连理工大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TP311.52;TN929.5
本文编号：2383173
[Abstract]:In recent years, with the development of mobile communication network, the mobile network structure is becoming more and more complex, and users are demanding more and more high quality of the network, so the maintenance of mobile network becomes more and more important. The traditional response fault processing has been unable to meet the network quality requirements of operators, how to grasp the real-time operation of the network, the network performance hidden dangers for active early warning, It is an important problem for operators to move forward customer complaints. Aiming at the mobile network structure of MSC Pool in a certain city of China Mobile, this paper designs a set of mobile core network performance analysis and warning system, which is used to monitor the change of core network performance index, to warn the abnormal index, so that network maintainers can analyze it as soon as possible. Deal with, reduce the occurrence of failure. The early warning system for mobile core network performance analysis is mainly composed of data acquisition module, KPI computing module, early warning prejudgment module, mail distribution module and data presentation module. The data acquisition module periodically downloads the data files of the mobile core network device MSC Server through the FTP protocol, saves them to the local directory. The KPI computing module reads the downloaded files, and calculates the KPI according to the configured KPI formula. Save the index value to the database, the KPI formula can be freely configured by the user. The early warning prejudgment module is used to compare the KPI index calculated in real time with the set early warning threshold, and when the threshold is exceeded, the early warning is generated, and the early warning is summarized into pre-judgment according to the network structure, which is used to reflect the overall situation of the network. The system adopts two levels of early warning, namely, high level early warning and low level early warning, and uses static threshold and dynamic threshold as early warning threshold. The static threshold is configured by the user, and the dynamic threshold is calculated by time series decomposition and K-center clustering algorithm. The mail distribution module is used to distribute the network status to the corresponding staff through mail so that it can be analyzed and processed in a timely manner. Data presentation module is used for man-machine interaction, mainly for users to carry out KPI index, early warning query and KPI configuration, system configuration. The system uses Visual Studio 2008 as the development platform, VC as the development language, SQL Server 2008 as the database and Matlab R2013a as the algorithm simulation platform. The performance analysis and early warning system of mobile core network realized in this paper has been formally put into operation for about 2 years after field test and adjustment in a certain city of China Mobile. The system can be obtained once every 15 minutes, and the time of calculation is less than 2 minutes each time. The running results show that each module is running normally and can automatically handle the abnormal situation of the system, and the calculation index is correct, which provides a reliable basis for the user to analyze the network condition. The dynamic threshold algorithm proposed in this paper can accurately warn users, which provides a basis for users to detect network faults in advance, and is suitable for early warning of mobile network performance.
【学位授予单位】：大连理工大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TP311.52;TN929.5
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，本文编号：2383173
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