论文部分内容阅读
基于 Transit- Stub分层网络拓扑结构模型 ,提出了一个相对复杂的计算机网络模型 ,并通过对仿真结果的处理 ,揭示并分析了其中存在的诸如相变、幂率等复杂性现象 ,同时定性地研究了网络参数的影响。研究发现 ,网络的规模和带宽以及用户行为的统计分布都将对网络的相变现象有着重要的影响 ,数据流分布和节点排队长度的功率谱分布都呈现出幂率的特征。研究结果表明 :网络带宽的增加有助于抑制拥塞相变带来的影响 ,频域中的幂率现象说明了网络中存在的长相关特性
Based on the Transit-Stub hierarchical network topology model, a relatively complex computer network model is proposed. By processing the simulation results, the complex phenomena such as phase transition and power rate are revealed and analyzed, The influence of network parameters is studied. It is found that the size and bandwidth of the network and the statistical distribution of user behavior will all have an important influence on the phase transition phenomenon of the network. The power flow distribution and the power spectrum distribution of the node queuing length all exhibit the power rate characteristics. The results show that the increase of network bandwidth helps to suppress the impact of congestion phase transition. The power-rate phenomenon in frequency domain shows the long-term correlation in network