Visualization of Internet Traffic Features
Visualization of Internet Traffic Features
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互联网流量特征可视化
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通讯作者：
K. Chandra
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作者：
Jiraporn Pongsiri;M. Parikh;Miroslova Raspopovic;K. Chandra
网络数据流量的可视化研究，允许每小时的流量趋势和流量参数之间的依赖关系的解释。流量统计是许多参数的函数，例如一天中的时间、应用程序端口、协议和数据包大小。本工作中使用的数据是从马萨诸塞州洛厄尔大学路由器测量的数据包报头跟踪中获得的，该路由器将校园网连接到Internet。上游和下游流量的可视化显示，TCP协议在一天中的任何时候都是主要的流量生成器。在TCP应用程序中，HTTP、FTP和SMTP每小时产生超过70%的字节和数据包量。本研究还探讨了应用程序和它们生成的数据包大小之间的关系。在每小时的时间尺度上，出站方向上超过90%的流量在0-100字节范围内，并且由来自Web和电子邮件相关应用程序的客户端流量生成。在入站方向，超过75%的流量在576和1500字节范围内，并且来自服务器对出站请求的响应。这些数据包大小和应用程序之间的依赖关系被发现是一致的功能，在日常模式的校园网络和互联网之间的双向流量。
A visualization study of network data traffic is presented that allows for interpretation of the hourly traffic trends and dependencies between traffic parameters. The traffic statistics are a function of many parameters such as the time of the day, the application port, protocol and packet size. The data used in this work is obtained from packet header traces measured at the University of Massachusetts Lowell router that connects the campus network to the Internet. The visualization of upstream and downstream traffic shows that the TCP protocol is the dominant traffic generator at all times of the day. Among the TCP applications, HTTP, FTP, and SMTP generate over seventy percent of the hourly byte and packet volume. This study also examines the relationship between applications and the packet sizes they generate. On an hourly time scale, over 90% of traffic in the outbound direction is in the 0-100 byte range and is generated by client traffic from web and email related applications. In the inbound direction, over 75% of the traffic are in the 576 and 1500 byte range and arise from server responses to the outbound requests. These dependent relationships between packet size and applications are found to be consistent features in the day to day patterns of bi-directional traffic between the campus network and the Internet.