CAJ | 학술논문

网络流量的识别和分类是网络管理、流量工程等应用的重要前提。该文针对占据主要互联网流量的bitTorrent、HTTP、PPStream、QQ和迅雷5种典型业务进行研究。对不同时间段采集数据的分析结果表明：各典型业务的包长分布均有独特的分布规律，且随时间不同仅存在微小变化。对数据集按不同比例进行采样分析结果表明：随样本总数的递减，各典型业务包长分布形态没有显著改变，且随着样本总数的递减，包长分布曲线虽有所变化，但整体形态和趋势并没有显著改变。该文对研究互联网各业务流量特点，分析和掌握网络流量规律等方面具有重要价值。
망락류량적식별화분류시망락관리、류량공정등응용적중요전제。해문침대점거주요호련망류량적bitTorrent、HTTP、PPStream、QQ화신뢰5충전형업무진행연구。대불동시간단채집수거적분석결과표명：각전형업무적포장분포균유독특적분포규률，차수시간불동부존재미소변화。대수거집안불동비례진행채양분석결과표명：수양본총수적체감，각전형업무포장분포형태몰유현저개변，차수착양본총수적체감，포장분포곡선수유소변화，단정체형태화추세병몰유현저개변。해문대연구호련망각업무류량특점，분석화장악망락류량규률등방면구유중요개치。
Identification and classification of network traffic are an essential prerequisite of network traffic, network management, traffic engineering, and other applications. This paper mainly studies five typical Internet applications, including bitTorrent, HTTP, PPStream, QQ, and thunder, which occupy a majority of the Internet traffic. Analysis of data collected during different time periods shows that each application has a unique typical packet size distribution, and there are only minimal changes in packet size distribution among different durations. Moreover, the analysis on data of discrete sample proportions shows that with decreasing the number of samples, the packet size distribution patterns do not change significantly. With the decreasing of the total number of samples, the packet size distributions curve varies, but the overall shape and the trends have not changed substantially.