移動核心網(wǎng)性能分析預警系統(tǒng)的設計與實現(xiàn)
發(fā)布時間：2018-12-16 22:50
【摘要】：近年來,隨著移動通信網(wǎng)絡的發(fā)展,移動網(wǎng)絡結構越來越復雜,用戶對網(wǎng)絡質(zhì)量要求也越來越高,因此移動網(wǎng)絡維護變得越來越重要。傳統(tǒng)的響應式故障處理已經(jīng)無法滿足運營商對網(wǎng)絡質(zhì)量的要求,如何掌握網(wǎng)絡實時運行狀況,將網(wǎng)絡性能隱患進行主動預警,將用戶投訴前移是當前運營商急需解決的重要問題。本文針對中國移動某市MSC Pool的移動網(wǎng)絡結構,設計一套移動核心網(wǎng)性能分析預警系統(tǒng),用于監(jiān)測核心網(wǎng)性能指標變化,對異常的指標進行預警,以便網(wǎng)絡維護人員盡早分析、處理,減少故障發(fā)生。移動核心網(wǎng)性能分析預警系統(tǒng)主要由數(shù)據(jù)獲取模塊、KPI計算模塊、預警預判模塊、郵件分發(fā)模塊和數(shù)據(jù)呈現(xiàn)模塊組成。數(shù)據(jù)獲取模塊定時通過FTP協(xié)議下載移動核心網(wǎng)設備MSC Server的數(shù)據(jù)文件,保存到本地目錄中。KPI計算模塊讀取下載完成的文件,并根據(jù)配置的KPI公式進行KPI計算,將指標值保存到數(shù)據(jù)庫中,KPI公式可由用戶進行自由配置。預警預判模塊用于將實時計算的KPI指標與設定的預警門限比較,超過門限則產(chǎn)生預警,并按照網(wǎng)絡結構將預警匯總為預判,用于反映網(wǎng)絡整體狀況。本系統(tǒng)采用兩級預警,即高級別預警和低級別預警,采用靜態(tài)門限和動態(tài)門限結合作為預警門限。靜態(tài)門限由用戶進行配置,動態(tài)門限采用時間序列分解及K中心點聚類算法計算得到。郵件分發(fā)模塊用于將網(wǎng)絡狀況通過郵件分發(fā)給相應工作人員,以便其及時分析處理。數(shù)據(jù)呈現(xiàn)模塊用于人機交互,主要供用戶進行KPI指標、預警預判查詢和KPI配置、系統(tǒng)配置。本系統(tǒng)采用Visual Studio 2008作為開發(fā)平臺,VC++作為開發(fā)語言,數(shù)據(jù)庫采用SQL Server 2008,采用Matlab R2013a作為算法仿真平臺。本文實現(xiàn)的移動核心網(wǎng)性能分析預警系統(tǒng),在中國移動某市進行現(xiàn)場測試調(diào)整后,已經(jīng)正式上線運行2年左右,系統(tǒng)每15分鐘進行一次性能獲取,每次計算用時小于2分鐘。運行結果表明,各個模塊均運行正常,對于系統(tǒng)異常情況能夠自動處理；計算指標正確,為用戶分析網(wǎng)絡狀況提供了可靠的依據(jù)；本文提出的動態(tài)門限算法能夠準確預警,為用戶提前發(fā)現(xiàn)網(wǎng)絡故障提供了依據(jù),適合用于移動網(wǎng)絡性能預警。
[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.
【學位授予單位】：大連理工大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：TP311.52;TN929.5
本文編號：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.
【學位授予單位】：大連理工大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：TP311.52;TN929.5
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，本文編號：2383173
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