一种基于超统计理论的网络流量模型

Yue-ming Yang, Hanping Hu, Wei Xiong, Fan Ding
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引用次数: 3

摘要

不同网络设备、拓扑配置、传输协议之间的相互作用以及网络用户之间的合作与竞争,不可避免地使受多种驱动因素控制的网络流量呈现出非平稳的复杂行为。由于其非平稳性,难以用传统的方法对复杂的网络流量进行分析。本文讨论了一种基于超统计理论的非平稳网络流量分析新方法。根据超统计理论,复杂的动态系统可能在大时间尺度上具有密集量的大波动,导致系统表现为非平稳,这也是网络流量的特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Novel Network Traffic Model Based on Superstatistics Theory
Mutual interactions of different network equipment, topology configurations, transmission protocols and cooperation and competition among the network users inevitably cause the network traffic flow which is controlled by several driving factors to appear non-stationary and complicated behavior. Because of its non-stationary property it can not easily use traditional way to analyze the complicated network traffic. A new method of non-stationary network traffic based on superstatistics theory is discussed in the paper. According to the superstatistics theory, the complex dynamic system may have a large fluctuation of intensive quantities on large time scales which cause the system to behave as non-stationary which is also the characteristic of network traffic.
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