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A study on improvement of internet traffic measurement and analysis using Hadoop system

机译:利用Hadoop系统改善互联网流量计量与分析的研究。

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By using conventional database management tools, data explosion is one of the most regular triggers for the development of Big Data. This results in increase difficulty for database management and larger datasets from existing applications. The organizations face the challenge to capture, manage and analyze the data in an acceptable period of time due to the increasing size of data sets, ranging from several terabytes to multiple petabytes. The proposed research aims at resolving the problem faced in internet traffic measurement and depth analysis. As there is a wide growth in the internet traffic and high speed access, the system is facing a scalability problem. To overcome this, we are introducing a Hadoop based traffic monitoring system which performs analysis of multi-terabytes (IP, HTTP, TCP, NetFlow) of the internet traffic system in a scalable manner and for in-depth analysis of the problem, the paper shows the different features.
机译:通过使用常规的数据库管理工具,数据爆炸是大数据开发的最常规触发因素之一。这增加了数据库管理的难度,并增加了来自现有应用程序的更大数据集。由于数据集的大小不断增加,范围从几TB到几PB,这些组织面临在可接受的时间内捕获,管理和分析数据的挑战。拟议的研究旨在解决互联网流量测量和深度分析中面临的问题。随着Internet流量和高速访问的广泛增长,系统面临可扩展性问题。为了克服这个问题,我们引入了一种基于Hadoop的流量监控系统,该系统以可扩展的方式对互联网流量系统的数TB(IP,HTTP,TCP,NetFlow)进行分析,并对问题进行深入分析。显示了不同的功能。

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