约瑟夫和诺亚效应和高速网络流量

W. Willinger
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引用次数: 0

摘要

Benoit Mandelbrot给出了圣经中约瑟夫(“七个丰年和七个荒年”的约瑟夫)和诺亚(“诺亚方舟”和“大洪水”)的故事,这些故事与数学建模相关;即“远程依赖”和“无限方差综合征”。通过远程依赖,我们指的是下降非常缓慢的自相关性(像幂而不是几何),通过无限方差协同,我们指的是具有“重尾”(类似帕累托的tOs而不是指数尾)的分布函数。目前使用的流量建模和性能分析技术无法以同等的方式解释约瑟夫和诺亚的影响。基于对许多不同工作包网络的实时流量测量的广泛分析,我将展示为什么约瑟夫和诺亚效应不仅可以在未来高速网络的流量特征中发挥重要作用,而且还可以在设计、控制和管理这些网络中发挥重要作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Joseph And Noah Effects And High-speed Network Traffic
Benoit Mandelbrot gave the Biblical stories of Joseph (the Joseph of the 'seven fat years and seven lean years') and Noah (of "Noah's ark" and the 'big flood") modern-day interpretations relevant for mathematical modeling; namely 'long-range depen- dence" and "the infinite variance syndrome". By long-range dependence we mean autocorrelations that decrease very slowly (like a power instead of geometric), by infinite variance syn- drome we mean distribution functions which have 'heavy tails" (Pareto-like tOs rather than exponential tails). Cu'rrently used traffic modeling and performance analysis tech- niques fail to account for the Joseph and Noah Effects in a par- simonious manner. Based on extensive analyses of real-time traffic measurements from a number of different working packet networks, I win demonstrate why the Joseph and Noah Effects can be expected to play a major role not only in characterizing traffic in future high-speed networks but also in designing, con- trolling and managing these networks.
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