基于信息熵的IP网端到端行为分析与建模

Analysis and Modeling of End-to-End Behavior Based on Information Entropy in IP Network

具有开放、分布式、不协作、异构、无中心控制等特点的Internet复杂巨系统的管理、容量规划、新一代网络体系结构设计与分析和性能预测都离不开对网络行为的充分理解。而端到端行为作为网络行为的一个重要组成部分,具有一定的研究价值。该文利用信息熵原理建立用于分析端到端整体宏观行为的信息熵模型,该模型能很好地反映端到端整体宏观行为与链路上各节点的状态概率之间关系,根据该模型可以分析端到端链路上各节点之间的相互作用关系以及它们是如何引起端到端整体宏观行为的。最后,给出了该模型的有效性和稳定性定量分析的判别式。

Internet has become a complex gigantic system that has open,distributed,uncooperative,heterogeneous,non-center-control characteristics.To manage and scheme Internet,and design new generation network architecture and anal-yse and performance forecast is need to perceive network behavior.End-to-end behavior is an important part of network behavior,and it is worthy of research.This paper establishes an information entropy model about end-to-end behavior that is used to analyse end-to-end macro-behavior.End-to-end behavior is connected with status probability of nodes on the links.By this model,it is easy to analyse the interaction between parts of nodes on the links and how to give rise to end-to-end behavior.At last,this paper offers some formulas to verify the availability and stability of this model.