流速度下IP网络流量的分形建模

22nd International Conference on Data Engineering (ICDE'06) Pub Date : 2006-04-03 DOI:10.1109/ICDE.2006.73

Flip Korn, S. Muthukrishnan, Yihua Wu

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引用次数: 1

摘要

本文描述了如何在IP流量数据流上在线拟合分形模型。我们的方法依赖于维护数据流的草图和拟合直线:它产生快速、节省空间和准确的算法。我们在AT&T的Gigascope数据流管理系统中实现了我们的方法，以证明它们在流线路速度下的实用性。

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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Fractal Modeling of IP Network Traffic at Streaming Speeds

This paper describes how to fit fractal models, online, on IP traffic data streams. Our approach relies on maintaining a sketch of the data stream and fitting straight lines: it yields algorithms that are fast, space-efficient, and accurate. We implemented our methods in AT&T’s Gigascope data stream management system, to demonstrate their practicality at streaming line speeds.

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22nd International Conference on Data Engineering (ICDE'06)

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