摘要
针对当前非业务性网络前后向流量呈现对称性的问题,提出一种基于双向网络流模型的分析方法。与传统的单向网络流模型相比,双向网络流模型以主机为粒度实现流量双向聚合,利用网络流在协议、端口分布和流对称性方面的特征指标刻画主机间的交互行为,从而发现流量对称性产生的根源。基于西安交通大学校园网流量的实验结果表明,1%的主机承载了90%以上的前向UDP流量,是造成流量对称性的根本原因。相比于传统的网络流模型,文中提出的模型和分析方法能快速定位造成流量对称性的主机,更适用于非业务性网络流量的控制与管理。
Measurement methods based on bidirectional flow model are proposed to investigate the symmetric characteristic of the nonbusiness network traffics. The features of protocol, port distribution and flow size are extracted from hostlevel aggregated traffic to characterize users’ interactive behavior and to find the origins of traffic symmetry. The analysis results using actual traffic traces collected from the campus network of Xi’an Jiaotong University show that 1% of the total hosts bear more than 90% of the forward UDP traffic, which results in the symmetry of total traffic. Compared with the traditional flow model, the proposed methods can quickly locate the hosts that are responsible for traffic symmetry, and are more suitable for traffic control and management in nonbusiness networks.
出处
《西安交通大学学报》
EI
CAS
CSCD
北大核心
2013年第8期19-25,共7页
Journal of Xi'an Jiaotong University
基金
国家自然科学基金资助项目(60921003
60110320)
国家科技支撑计划资助项目(2011BAK08B02)
中央高校基本科研业务费专项资金资助项目