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Cellular automaton modeling of computer network

机译：计算机网络蜂窝自动机制建模

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The dramatically increasing growth of computer network has brought us more and more complex systems that reveals plenty of nonlinear complex phenomena. On the other hand, cellular automaton model used to be in the study of a variety of nonlinear and spatially extended systems. This paper proposes a simplified cellular model for computer network, namely the NaSch network model, which is originated at the NaSch model of road traffic. Typically, the NaSch network model is a one-dimension cellular automaton and consists of two kinds of cells, i.e. node cell and link cell. In this paper, the node cell stands for switch nodes in computer network, such as routers and switchers, while the link cell is the abstract of the lines of communication among these switch nodes. The simulation results show that this model indeed captures some of properties of flux of computer networks. The space-time plots illustrate that the randomization in this modeling plays an important role in the emerging of self-organization of congestion. It also demonstrates that the density of packet is another key factor to having influence on congestion. On the contrary, the boundary condition has few contribution to our model.
机译：大幅增加的计算机网络增长使我们带来了越来越复杂的系统，揭示了大量的非线性复杂现象。另一方面，蜂窝自动机模型用于研究各种非线性和空间扩展系统。本文提出了一种简化的计算机网络蜂窝模型，即NASCH网络模型，它起源于道路交通的NASCH模型。通常，NASCH网络模型是一维蜂窝自动机，由两种单元组成，即节点单元和链路单元。在本文中，节点单元代表计算机网络中的开关节点，例如路由器和切换器，而链路单元是这些开关节点之间的通信线的摘要。仿真结果表明，该模型确实捕获了计算机网络通量的一些属性。空时绘图说明该建模中的随机化在新兴的自组织的新兴中起着重要作用。它还表明，包的密度是对充血影响的另一个关键因素。相反，边界条件对我们的模型贡献很少。

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