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中文摘要：
针对互联网上用户重复访问网络资源形成冗余流量造成网络拥塞的问题,建立了随时间演化的加权二分网络（weighted bipartite network,WBN）模型。通过对用户网络行为及冗余流量的形成机制和演化规律的分析,WBN模型采用择优连接和拓扑增长的方式完成网络演化。仿真实验表明,在演化过程中,用户节点强度经历了由指数分布到幂律分布再到随机分布的变化,有效地模拟了Internet中冗余流量的演化过程。仿真结果和理论分析一致,进一步证明了WBN模型的正确性和实用性。
英文摘要：
To tackle the network congestion issue caused by redundant traffic by users’ repeated access to the same network resources,this paper proposed a weighted bipartite network（ WBN） model which evolved with time. Through the analysis of users’ network behavior and redundant traffic’formation and evolution mechanism,WBN model adopted ways of preferential connection and topology growth to complete network evolution. Simulation experiment results show that strength of user nodes has experienced from the exponential distribution to power-law distribution and then random distribution. It effectively simulates the evolution of real network redundant traffic. Simulation results are also consistent with theoretical analysis and show that WBN model is accurate and practical.
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