针对大型网络的流量控制中出现的非线性问题,提出了网络拥塞控制的混沌模型。该模型考虑了节点正在处理的信息量,能处理的最大信息量,剩余存储能力,缓存中待处理的信息量等几个导致网络拥塞问题的因素之间的关系,建立了网络拥塞控制的混沌模型。通过对模型进行模拟分析,获得了拥塞发生时各因素之间的比例关系值。讨论了计算机网络作为一个复杂的动力系统的特性。 Aiming at the nonlinear problems in traffic control of large networks, a chaos model of network congestion control is proposed. This model considers the relationship between the number of factors that cause network congestion such as the amount of information being processed, the maximum amount of information that can be processed, the remaining storage capacity, the amount of information to be processed in the cache, and establishes the chaos of network congestion control model. Through the simulation analysis of the model, we get the ratio of the various factors when the congestion occurs. The characteristics of computer network as a complex dynamical system are discussed.