软件定义网络中流量分类研究综述

Jinghua Yan, Jing Yuan
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引用次数: 23

摘要

流量分类在网络管理、业务度量、网络设计、安全监控和广告发布等方面得到了广泛的应用。软件定义网络(SDN)是一种新兴的网络技术,它能够通过简化网络管理、引入网络可编程性和提供网络全局视图来解决传统网络中的问题。近年来,SDN给流量分类带来了新的机遇。SDN中的流量分类技术已经被研究、提出和发展。本文着眼于SDN中流量分类技术的新兴研究。我们首先介绍了SDN和相关的流量分类工作,然后回顾了SDN中流量分类的几项代表性工作。本文将根据分类策略的选择和对文献的贡献对这些作品进行综述。讨论了SDN流量分类的研究挑战和未来发展方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Survey of Traffic Classification in Software Defined Networks
Traffic classification has been widely used in network management, service measurements, network design, security monitoring and advertising. Software defined networks (SDN) is an newly-developing technology, which is capable of address problems in the traditional network by simplifying network management, introducing network programmability, and providing a global view of a network. Recent years, SDN has brought new opportunity to classify traffic. Traffic classification techniques in SDN have been investigated, proposed and developed. This paper looks at emerging research into the traffic classification techniques in SDN. We first introduce SDN and related work of traffic classification, and then review several representative works of traffic classification in SDN. These works are reviewed in line with the choice of classification strategies and contribution to the literature. Research challenges and future directions for SDN traffic classification are also discussed.
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