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Multiscale network processes: fractal and p-adic analysis

机译:多尺度网络过程:分形和p-adic分析

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Computer scientists have been raising a number of original methodological questions which, while being common to many fields of technology, have thus far remained completely unexplored even by mathematicians. Among such questions of fundamental importance are what is the nature of multiscale processes in computer networks and how to quantify the fractal properties of packet flow. This paper begins with an experimental analysis of the property of burstiness and statistical operation with network traffic. The proposed approach offers hope that one can find simple enough adequate models and combine the concept of distance in normalized space with number theory. This is followed by some technical details concerning real analysis of fractional measure, and a calculus formalism that could be employed to describe network traffic models. The paper concludes with a wavelet and p-adic spectral analysis, which can be used to investigate multiscale fractal features of network traffic.
机译:计算机科学家一直在提出许多原始的方法论问题,这些问题虽然在许多技术领域都很普遍,但迄今为止,甚至还没有被数学家探索。在这些最重要的问题中,计算机网络中多尺度处理的本质是什么,以及如何量化数据包流的分形特性。本文首先对网络流量的突发性和统计操作的性质进行了实验分析。所提出的方法提供了希望,即人们可以找到足够简单的适当模型,并将归一化空间中的距离概念与数论相结合。接下来是一些有关分数度量的实际分析的技术细节,以及可用于描述网络流量模型的演算形式主义。本文以小波和p-adic频谱分析作为结束语,可用于研究网络流量的多尺度分形特征。

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