基于在线概率的P2P网络系统动力学模型

为了更好地刻画P2P文件共享系统中节点行为的随机性，提出了一种基于在线概率的动力学模型. 首先，引入节点的在线概率来刻画节点行为的随机性，并通过分析系统中节点之间交互演化的过程，建立了基于在线概率的动力学模型. 然后，通过对模型的分析，研究了影响系统演化的多个因素，这主要通过对相关算法的具体形式分析来体现. 之后，对算法进行改进，提出了基于在线概率的节点选择算法、带宽分配算法与节点阻塞算法. 最后，通过仿真实验对模型进行了验证和分析.

Dynamic Model of P2P Network Systems Based on Online-Probability

In order to accurately depict the randomness of the node behavior of the P2P file-sharing systems, a dynamic model of the P2P file-sharing systems based on the online-probability is proposed. Firstly, we introduce the online-probability of the nodes and analyze the process of the evolution of the systems. Furthermore, we propose a dynamic model of P2P file-sharing systems based on the online-probability. Through the model, the factors that influence the system are studied. These factors are embodied in the central policies of the system. The relevant algorithms of the dynamic model of the P2P file-sharing systems is improved. The relevant algorithms based on the online-probability are proposed. These policies include peer selection policy, bandwidth allocation policy and peer choking policy. Finally, some experiments are carried out to validate the model.