【摘要】：21世紀(jì)是信息的時(shí)代,信息交換已經(jīng)成為人類生活最重要的組成之一。網(wǎng)絡(luò)作為信息交換的主要載體,已經(jīng)成為社會(huì)最重要的基礎(chǔ)設(shè)施。移動(dòng)互聯(lián)網(wǎng)、物聯(lián)網(wǎng)和車聯(lián)網(wǎng)等概念的興起,證明網(wǎng)絡(luò)已經(jīng)成為社會(huì)生活的核心；教育學(xué)術(shù)、商業(yè)經(jīng)濟(jì)和娛樂文化等方方面面都離不開網(wǎng)絡(luò)的支撐。隨著人們對(duì)網(wǎng)絡(luò)越來越依賴,網(wǎng)絡(luò)的規(guī)模也越來越龐大,人們對(duì)網(wǎng)絡(luò)性能的要求也越來越高。如何保證規(guī)模龐大的網(wǎng)絡(luò)的有效性、可靠性和穩(wěn)定性,如何科學(xué)高效的管理網(wǎng)絡(luò),以及如何在當(dāng)前網(wǎng)絡(luò)技術(shù)上演進(jìn)出更加先進(jìn)的網(wǎng)絡(luò)技術(shù)已經(jīng)成為眾多學(xué)者和研究機(jī)構(gòu)的研究熱點(diǎn)。而這些問題的解決依賴對(duì)網(wǎng)絡(luò)進(jìn)行有效的測(cè)量,并通過計(jì)算測(cè)量數(shù)據(jù)來分析網(wǎng)絡(luò)性能。 本文將論述云監(jiān)測(cè)平臺(tái)的海量測(cè)量數(shù)據(jù)分析技術(shù),旨在通過分析大規(guī)模網(wǎng)絡(luò)測(cè)量得到的海量測(cè)量數(shù)據(jù)來評(píng)價(jià)當(dāng)前被測(cè)量網(wǎng)絡(luò)性能。本文論述的測(cè)量數(shù)據(jù)分析技術(shù)分為測(cè)量數(shù)據(jù)分析算法和測(cè)量數(shù)據(jù)分析系統(tǒng)兩部分。測(cè)量數(shù)據(jù)分析算法提供一種海量測(cè)量數(shù)據(jù)處理方法,通過對(duì)海量的測(cè)量數(shù)據(jù)進(jìn)行運(yùn)算來分析被測(cè)量網(wǎng)絡(luò)的性能狀態(tài)。測(cè)量數(shù)據(jù)分析系統(tǒng)是對(duì)測(cè)量數(shù)據(jù)分析算法的系統(tǒng)實(shí)現(xiàn)。測(cè)量數(shù)據(jù)分析系統(tǒng)采用云計(jì)算編程模型對(duì)分析算法進(jìn)行實(shí)現(xiàn),旨在依托云計(jì)算強(qiáng)大的存儲(chǔ)和計(jì)算能力,向網(wǎng)絡(luò)管理人員提供一種快速處理海量測(cè)量數(shù)據(jù)的工具。 本文首先介紹云監(jiān)測(cè)平臺(tái)的海量測(cè)量數(shù)據(jù)分析技術(shù)的研究背景和研究意義,并對(duì)當(dāng)前的研究技術(shù)進(jìn)行介紹,其中包括了現(xiàn)有的網(wǎng)絡(luò)測(cè)量方法和性能評(píng)價(jià)方法。其次,本文將討論測(cè)量數(shù)據(jù)分析系統(tǒng)的設(shè)計(jì)需求和系統(tǒng)需求,確定測(cè)量數(shù)據(jù)分析系統(tǒng)的設(shè)計(jì)目標(biāo)、實(shí)現(xiàn)原則、功能需求和性能需求。然后,本文將著重介紹測(cè)量數(shù)據(jù)分析算法,其中包括通過計(jì)算海量測(cè)量數(shù)據(jù)分析路徑性能的綜合指標(biāo)法和能夠準(zhǔn)確分析網(wǎng)絡(luò)性能的低耦合網(wǎng)絡(luò)性能分析法。之后,本文將討論測(cè)量數(shù)據(jù)分析系統(tǒng)整體結(jié)構(gòu)和各部分結(jié)構(gòu),從系統(tǒng)實(shí)現(xiàn)角度介紹測(cè)量數(shù)據(jù)分析系統(tǒng)。最后,本文采用幾組實(shí)驗(yàn)來介紹云監(jiān)測(cè)平臺(tái)的海量測(cè)量數(shù)據(jù)分析技術(shù)在實(shí)際場(chǎng)景中的應(yīng)用,以實(shí)例證明其在實(shí)際應(yīng)用中的價(jià)值。
[Abstract]:The 21st century is the era of information, information exchange has become one of the most important components of human life. As the main carrier of information exchange, network has become the most important infrastructure of society. The rise of the concepts of mobile Internet, Internet of things and car networking proves that the network has become the core of social life; the education, academic, business economy and entertainment culture can not be separated from the support of the network. As people rely more and more on the network, the scale of the network is becoming larger and larger, and the demand for network performance is becoming higher and higher. How to ensure the effectiveness, reliability and stability of the large-scale network, how to manage the network scientifically and efficiently, And how to evolve more advanced network technology in the current network technology has become the research hotspot of many scholars and research institutions. The solution of these problems depends on the effective measurement of the network and the analysis of the network performance by calculating the measurement data. This paper will discuss the massive measurement data analysis technology of cloud monitoring platform, which aims to evaluate the performance of the measured network by analyzing the massive measurement data obtained from the large-scale network measurement. The technique of measuring data analysis is divided into two parts: measurement data analysis algorithm and measurement data analysis system. The measurement data analysis algorithm provides a massive measurement data processing method to analyze the performance state of the measured network through the operation of the massive measurement data. The measurement data analysis system is the system realization of the measurement data analysis algorithm. The measurement data analysis system uses the cloud computing programming model to implement the analysis algorithm, which aims to provide network managers with a tool to deal with massive measurement data quickly, relying on the powerful storage and computing capabilities of cloud computing. This paper first introduces the research background and significance of cloud monitoring platform mass measurement data analysis technology, and introduces the current research technology, including the existing network measurement methods and performance evaluation methods. Secondly, this paper will discuss the design requirements and system requirements of the measurement data analysis system, and determine the design objectives, realization principles, function requirements and performance requirements of the measurement data analysis system. Then, this paper will focus on the measurement data analysis algorithm, including the comprehensive index method to analyze the path performance of mass measurement data and the low-coupling network performance analysis method which can accurately analyze the network performance. After that, this paper will discuss the whole structure and each part structure of the measurement data analysis system, and introduce the measurement data analysis system from the point of view of the system implementation. Finally, this paper uses several experiments to introduce the application of cloud monitoring platform's massive measurement data analysis technology in the actual scene, and proves its value in practical application by an example.
【學(xué)位授予單位】：北京郵電大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TP393.0

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 畢經(jīng)平,李忠誠(chéng),吳起;大規(guī)模互聯(lián)網(wǎng)端到端行為評(píng)價(jià)指標(biāo)研究[J];計(jì)算機(jī)工程與應(yīng)用;2002年12期

2 談杰;李星;;網(wǎng)絡(luò)測(cè)量綜述[J];計(jì)算機(jī)應(yīng)用研究;2006年02期

3 張宏莉,方濱興,胡銘曾,姜譽(yù),詹春艷,張樹峰;Internet測(cè)量與分析綜述[J];軟件學(xué)報(bào);2003年01期

4 蔡志平;劉芳;趙文濤;劉湘輝;殷建平;;網(wǎng)絡(luò)測(cè)量部署模型及其優(yōu)化算法[J];軟件學(xué)報(bào);2008年02期

5 楊雅輝,李小東;IP網(wǎng)絡(luò)性能指標(biāo)體系的研究[J];通信學(xué)報(bào);2002年11期

6 紀(jì)其進(jìn),董育寧;IP網(wǎng)絡(luò)性能特征模型分析[J];通信學(xué)報(bào);2004年03期

7 張冬艷;胡銘曾;張宏莉;;基于測(cè)量的網(wǎng)絡(luò)性能評(píng)價(jià)方法研究[J];通信學(xué)報(bào);2006年10期

8 趙娟;郭平;鄧宏鐘;吳俊;譚躍進(jìn);李建平;;基于信息流動(dòng)力學(xué)的通信網(wǎng)絡(luò)性能可靠性建模與分析[J];通信學(xué)報(bào);2011年08期

9 張秀武;雷為民;;基于網(wǎng)絡(luò)性能的VoIP語音質(zhì)量評(píng)價(jià)模型[J];小型微型計(jì)算機(jī)系統(tǒng);2010年03期

10 何娜;崔毅東;楊談;金躍輝;;基于云計(jì)算的分布式網(wǎng)絡(luò)測(cè)量系統(tǒng)設(shè)計(jì)[J];微計(jì)算機(jī)應(yīng)用;2011年11期

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