Internet traffic: visualization, discovery, and very large displays

W. Cleveland
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引用次数: 1

Abstract

For a decade, the ruling common wisdom for Internet traffic held that it was everywhere bursty: over periods lasting tens of milliseconds to hundreds, the traffic was either much below its average rate or much above. In other words, the traffic was not smooth, not staying at all times close to its average. It was bursty on the cable running down a street, carrying the merged traffic of a small number of cable modem users in one section of a town. It was bursty on the core fiber of an Internet service provider, carrying the merged traffic of thousands of users from all over the country. The Internet was designed to accommodate the bursty traffic. The routers and switches that forward traffic from one place to the next were designed for burstiness, and Internet service providers allocated traffic loads on the devices based on an assumption of burstiness. Recently, it was discovered that the old common wisdom is not true. Visualization played a fundamental role in the discovery. The old wisdom held up for links with a small numbers of users. But as the number of users increases, the burstiness dissipates, and the traffic becomes smooth. Design of the high-load part of the Internet needs to be rethought. The old wisdom had persisted for high-load links because the databases of traffic measurements from them are immense, and the traffic measurements had not been studied in their fullest detail, which is necessary to see the smoothing. Visualization tools allowed the detail to be seen, and allowed the verification of a mathematical theory that predicts the smoothing. To see the detail, individual visual displays were created that take up an amount of virtual screen real estate measured in hundreds of pages. It is a simple idea: if you have a lot of data, and you want to see it in detail, you need a lot of space. What is needed now is a rich set of ideas and methods for navigating such very large displays.
互联网流量:可视化、发现和非常大的显示
十年来,对互联网流量的普遍认知是,它无处不在:在几十毫秒到几百毫秒的时间段内,流量要么远低于平均速率,要么远高于平均速率。换句话说,交通并不顺畅,并不是一直保持在平均水平附近。它是在街道上的电缆上爆炸的,承载着城镇某一地区少数电缆调制解调器用户的合并流量。它是在一家互联网服务提供商的核心光纤上爆发的,承载着来自全国各地数千用户的合并流量。互联网的设计就是为了适应激增的流量。将流量从一个地方转发到另一个地方的路由器和交换机是为突发而设计的,互联网服务提供商根据突发的假设在设备上分配流量负载。最近,人们发现古老的常识并不正确。可视化在这一发现中发挥了重要作用。旧的智慧适用于少数用户的链接。但随着用户数量的增加,这种突发性消散,流量变得平稳。互联网高负载部分的设计需要重新考虑。对于高负载链接,旧的智慧仍然存在,因为来自它们的流量测量数据库非常大,而且流量测量没有得到最详细的研究,这是看到平滑所必需的。可视化工具可以看到细节,并且可以验证预测平滑的数学理论。为了查看细节,创建了单独的视觉显示,这些显示占用了以数百页为单位的虚拟屏幕空间。这是一个简单的想法:如果您有大量数据,并且希望详细查看数据,则需要大量空间。现在需要的是一套丰富的想法和方法来导航如此巨大的显示器。
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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