Application traffic classification in Hadoop distributed computing environment

Kyu-Seok Shim, Su-Kang Lee, Myung-Sup Kim
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引用次数: 2

Abstract

Today, network traffic has increased because of the appearance of various applications and services. However, methods for network traffic analysis are not developed to catch up the trend of increasing usage of the network. Most methods for network traffic analysis are operated on a single server environment, which results in the limits about memory, processing speed, storage capacity. When considering the increment of network traffic, we need a method of network traffic to handle the Bigdata traffic. Hadoop system can be effectively used for analyzing Bigdata traffic. In this paper, we propose a method of application traffic classification in Hadoop distributed computing system and compare the processing time of the proposed system with a single server system to show the advantages of Hadoop.
Hadoop分布式计算环境下的应用流量分类
今天,由于各种应用程序和服务的出现,网络流量增加了。然而,网络流量分析方法的发展并没有跟上网络使用量日益增长的趋势。大多数网络流量分析方法都是在单服务器环境下运行的,这导致了内存、处理速度、存储容量等方面的限制。当考虑到网络流量的增量时,我们需要一种网络流量的方法来处理大数据流量。Hadoop系统可以有效地用于分析大数据流量。本文提出了一种在Hadoop分布式计算系统中应用流量分类的方法,并将所提系统的处理时间与单服务器系统进行了比较,以显示Hadoop的优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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