【摘要】：移動(dòng)互聯(lián)網(wǎng)應(yīng)用的飛速發(fā)展使得電信網(wǎng)絡(luò)正面臨著巨大的挑戰(zhàn)，傳統(tǒng)的服務(wù)質(zhì)量（QoS）分析方法和工具難以解決這些問題。本論文針對(duì)基于QoS的電信網(wǎng)絡(luò)海量數(shù)據(jù)分析和處理進(jìn)行了研究，著重對(duì)于影響用戶體驗(yàn)的電信網(wǎng)絡(luò)業(yè)務(wù)進(jìn)行了分析，并基于海量數(shù)據(jù)進(jìn)行統(tǒng)計(jì)，分析給出了影響網(wǎng)絡(luò)性能和用戶體驗(yàn)的主要因素。 論文首先概述了服務(wù)質(zhì)量的概念，并對(duì)服務(wù)質(zhì)量的模型和關(guān)注的問題進(jìn)行了討論，分析給出了服務(wù)質(zhì)量與體驗(yàn)質(zhì)量的區(qū)別與聯(lián)系。論文研究了基于數(shù)據(jù)特征的業(yè)務(wù)分類方法，，對(duì)移動(dòng)互聯(lián)網(wǎng)服務(wù)質(zhì)量的關(guān)鍵因素進(jìn)行了分析，并對(duì)影響服務(wù)質(zhì)量的關(guān)鍵問題進(jìn)行了深入研究，提出了解決方案。論文基于全網(wǎng)端到端的數(shù)據(jù)流量，首先從傳統(tǒng)資源消耗的角度對(duì)全網(wǎng)進(jìn)行了分析；又通過關(guān)鍵KPI指標(biāo)，對(duì)不同類型的應(yīng)用進(jìn)行數(shù)據(jù)流特性統(tǒng)計(jì)分析，得到2G、3G下數(shù)據(jù)流特征規(guī)律。論文最后提出了一種基于Kmeans算法的擁塞避免機(jī)制，可以通過分析占據(jù)基站的流量特性，指導(dǎo)網(wǎng)絡(luò)優(yōu)化和提高網(wǎng)絡(luò)服務(wù)質(zhì)量。
[Abstract]:With the rapid development of mobile Internet applications, telecom networks are facing great challenges. Traditional quality of service (QoS) analysis methods and tools are difficult to solve these problems. In this paper, the analysis and processing of massive data in telecom network based on QoS are studied, with emphasis on the analysis of telecom network services that affect the user experience, and the statistics are carried out based on massive data. The main factors affecting network performance and user experience are analyzed. Firstly, this paper summarizes the concept of quality of service, discusses the model of quality of service and the problems concerned, and analyzes the difference and relationship between quality of service and quality of experience. In this paper, the service classification method based on data characteristics is studied, the key factors of mobile Internet quality of service are analyzed, the key problems that affect the quality of service are deeply studied, and the solutions are put forward. Based on the end-to-end data flow of the whole network, this paper first analyzes the whole network from the point of view of traditional resource consumption. Through the key KPI index, the data flow characteristics of different types of applications are statistically analyzed, and the characteristics of 2G, 3G data flow are obtained. Finally, a congestion avoidance mechanism based on Kmeans algorithm is proposed, which can guide the network optimization and improve the quality of network service by analyzing the traffic characteristics of the occupied base station.
【學(xué)位授予單位】：南京郵電大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TP393.09

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