Traffic Behavior Analysis During the Transition from One Level of the Network Hierarchy to Another

L. Gomazkova, Oleg Bezbozhnov, Osamah Al-Qadi, S. Galich, D. Chadaev
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Abstract

The hierarchical network model is the most preferable in the design of computer networks, as it allows you to create a more stable structure of network, rationally allocate available resources, and also provide a higher degree of data protection. In this work, the study of the behavior of the traffic during the transition from one level of the network hierarchy to another, based on the study of the values of the traffic self-similarity degree during this transition. For the study, a simulation model of a computer network with a hierarchical topology was developed using the NS-3 simulator. Also, a window application was developed in the Visual C# programming language. With the help of this application the degree of self-similarity of the traffic was investigated using the files obtained as a result of processing the trace file. Thus, as a result of the study, it can be stated that any changes in the degree of self-similarity of the network traffic when this traffic moves from one level of the hierarchy to another level depends on such a condition as the direction of traffic movement. The initial degree of selfsimilarity of network traffic also effects on the network traffic self-similarity degree.
网络层次从一层过渡到另一层的流量行为分析
分层网络模型在计算机网络设计中是最可取的,因为它可以创建更稳定的网络结构,合理分配可用资源,并提供更高程度的数据保护。本文在研究网络从一层向另一层过渡过程中流量自相似度值的基础上,研究了网络从一层向另一层过渡过程中流量的行为。在本研究中,使用NS-3模拟器开发了具有分层拓扑结构的计算机网络仿真模型。同时,用Visual c#编程语言开发了一个窗口应用程序。在此应用程序的帮助下,使用处理跟踪文件所获得的文件来调查流量的自相似程度。因此,研究结果表明,当网络流量从一层移动到另一层时,其自相似度的任何变化都取决于流量移动方向等条件。网络流量的初始自相似度也影响着网络流量的自相似度。
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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