Self-similarity and Long Range Dependence in teletraffic

M. Pagano
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引用次数: 1

Abstract

Self-similarity plays an important role, at least over a finite number of scales, in natural phenomena as well as complex technology-related systems. One of the most surprising examples is provided by telecommunication networks, where the shift from circuit-switching to packet-switching has led to a deep change in the stochastic nature of traffic flows. The concepts of self-similarity, long range dependence and heavy tails, widely used in traffic modelling, are closely related among them and strongly influence network performance. Hence, this overview, based on the research and teaching experience of the author, presents in a simple way the main definitions, focusing on their physical interpretation, and highlights the relevance of these properties in network dimensioning.
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远程通信中的自相似和远程依赖
至少在有限的尺度上,自相似性在自然现象和复杂的技术相关系统中起着重要作用。电信网络提供了一个最令人惊讶的例子,其中从电路交换到分组交换的转变导致了交通流量随机性的深刻变化。自相似、远程依赖和重尾等概念在流量建模中广泛应用,它们之间关系密切,对网络性能影响很大。因此,本综述基于作者的研究和教学经验,以简单的方式介绍了主要定义,重点介绍了它们的物理解释,并强调了这些属性在网络维度中的相关性。
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