基于简单性理论的网络仿真抽象技术研究

Jia Wang, Xiangzhan Yu, Jun Yan
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引用次数: 2

摘要

在大规模互联网环境下,如何通过网络仿真推导出具有代表性的简化拓扑模型?已知有许多算法可以计算有趣的度量(缩减客户端数量、删除方法、收缩方法等),但大多数算法只是减少了网络拓扑的规模,无法保证网络仿真结果的真实性。因此,在简化网络拓扑和降低仿真复杂度时,不仅要考虑网络规模的缩小,还要考虑实际仿真应用和仿真结果的真实性。鉴于此,本文提出了一种基于加权森林火灾焦点区(focus-zone with Weight Forest Fire, WFF)的网络拓扑简化方法,可以大大减小网络拓扑的规模,保证仿真结果的真实性。然后通过网络拓扑采样实验和UDP蠕虫仿真实验可知,该方法既能保持原有拓扑的拓扑特性,又能将网络仿真效率提高11%。当采样率为0.5时,丢包率的最大误差为7.8%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Network Simulation Abstract Technology Based on Simplicity Theory
Given a large scale internet, how can we derive a representative simplifying topology model by network simulation? There are many known algorithms to compute interesting measures (scale down the number of clients, deletion methods, contraction methods, et al.), but most of them only reduce the scale of the network topology, the facticity of network simulation results can’t be guaranteed. So when simplifying network topology and reducing the simulation complexity, we should not only consider the reduction of network scale but also consider the actual simulation application and the facticity of simulation result.Given that, this paper proposes a network topology simplicity method based on focus-zone with Weight Forest Fire(WFF) , which can greatly reduce the scale of network topology and guarantee the facticity of simulation results. Then through sampling network topology experiment and UDP worm simulation experiment, it can be known that this method can not only maintain the topological properties of original topology but also improve the efficiency of network simulation by 11%. And the maximum error of the packet drop ratio is 7.8%, which occurred at the sampling rate of 0.5.
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