本文選題：數(shù)據(jù)業(yè)務(wù) + 流量經(jīng)營��； 參考：《北京郵電大學(xué)》2014年碩士論文

【摘要】：隨著移動互聯(lián)網(wǎng)的普及,電信運營商正面臨著前所未有的機遇與挑戰(zhàn)。作為移動數(shù)據(jù)業(yè)務(wù)的提供者,運營商不僅要通過建設(shè)高質(zhì)量的通信網(wǎng)絡(luò)來保障用戶體驗,更需要通過業(yè)務(wù)發(fā)展來完成企業(yè)經(jīng)營模式的轉(zhuǎn)型。但是,由于受到以微信為代表的OTT (Over The Top)業(yè)務(wù)的影響,運營商在加大網(wǎng)絡(luò)建設(shè)投入的同時,正面臨數(shù)據(jù)流量“增量不增收”的窘境,業(yè)務(wù)經(jīng)營入不敷出。目前,業(yè)內(nèi)機構(gòu)普遍認(rèn)為,流量經(jīng)營是幫助運營商打破經(jīng)營困局的有效方法。 本文從流量經(jīng)營的需求出發(fā),針對移動數(shù)據(jù)業(yè)務(wù)設(shè)計并實現(xiàn)了一種深度包檢測(Deep Packet Inspection, DPI)系統(tǒng)。通過對即時通信、圖像影音等移動應(yīng)用的分析,系統(tǒng)建立了DPI特征庫和應(yīng)用知識庫,從而可對移動數(shù)據(jù)流量進行識別和信息挖掘。該系統(tǒng)的實現(xiàn),為基于移動應(yīng)用的流量經(jīng)營提供了基礎(chǔ)。 論文首先通過統(tǒng)計數(shù)據(jù)分析了移動數(shù)據(jù)業(yè)務(wù)經(jīng)營需求,并研究了DPI技術(shù)的應(yīng)用場景。在此基礎(chǔ)上,從功能定義、部署方案和系統(tǒng)架構(gòu)三個方面對基于移動數(shù)據(jù)業(yè)務(wù)的DPI系統(tǒng)進行總體設(shè)計。具體地,系統(tǒng)由數(shù)據(jù)采集、數(shù)據(jù)處理、數(shù)據(jù)挖掘和信息展示四個主要的功能模塊組成。通過移動應(yīng)用的分析,系統(tǒng)定義并建立了DPI特征庫和應(yīng)用知識庫,并以此為依據(jù),通過Python語言實現(xiàn)了數(shù)據(jù)流量的處理,包括流量來源標(biāo)識、用戶行為信息挖掘和結(jié)果展示。 目前,論文所實現(xiàn)的系統(tǒng)已經(jīng)得到了實際的應(yīng)用,為電信運營商實現(xiàn)流量經(jīng)營提供了有效的參考。
[Abstract]:With the popularity of mobile Internet, telecom operators are facing unprecedented opportunities and challenges. As a provider of mobile data service, operators not only need to build high-quality communication network to protect the user experience, but also need to complete the transformation of business model through business development. However, due to the influence of the OTT over The Top-service represented by WeChat, the operators are facing the dilemma of "no incremental increase in data flow" while increasing investment in network construction. At present, industry organizations generally believe that traffic management is to help operators break through the operational difficulties of an effective method. Based on the requirement of traffic management, this paper designs and implements a deep packet detection Packet Inspection, DPI) system for mobile data services. Based on the analysis of mobile applications such as instant messaging, image audio and video, the DPI signature database and application knowledge base are established, so that mobile data flow can be recognized and mined. The realization of the system provides the foundation for the traffic management based on mobile application. Firstly, the paper analyzes the business demand of mobile data service through statistical data, and studies the application scenario of DPI technology. On this basis, the DPI system based on mobile data service is designed from three aspects: function definition, deployment scheme and system architecture. Specifically, the system consists of four main functional modules: data acquisition, data processing, data mining and information display. Based on the analysis of mobile applications, the DPI signature database and application knowledge base are defined and established. Based on this, the data flow processing is realized by Python language, including traffic source identification, user behavior information mining and result display. At present, the system implemented in this paper has been applied in practice, which provides an effective reference for telecom operators to realize traffic management.
【學(xué)位授予單位】：北京郵電大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TN929.5;TP393.01

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