基于自相似业务流的有限缓冲区以太网模型的研究  

The research on limited-buffer Ethernet model based on self-similar traffic flow

作　　者：高立兵 苏军德 GAO Libing;SU Junde(Gansu Vocational & Technical College of Nonferrous Metallurgy,Gansu Jinchang 737100,China)

机构地区：[1]甘肃有色冶金职业技术学院

出　　处：《工业仪表与自动化装置》2019年第3期123-128,共6页Industrial Instrumentation & Automation

基　　金：甘肃省科技计划资助(18YF1GC143);甘肃省高等学校科研项目(2017B-32);甘肃省教育科学“十三五”规划2017年度课题(课题批准号:GS[2017]GHB0352)成果

摘　　要：Petri网是研究离散事件动态系统的几种基本方法之一,己成功应用于生产制造系统及网络协议验证等领域。该文通过对自相似业务流的成因以及自相似性对网络性能的影响进行深入研究分析,然后根据网络数据传输过程的特点,建立随机Petri网模型,给出具有自相似特性的网络业务流传输过程的随机Petri网模型。使用Petri网建立了有限缓冲区的以太网模型,采用一种马尔可夫随机Petri网的方法对模型进行分析,最后利用随机Petri网性能分析工具SPNP对所建立的模型进行了模拟和验证,研究了自相似业务流对网络性能的影响。该文提出的模型在一定程度上能够很好地拟合不同网络的流量特性,为网络构建、网络特性分析和网络性能评估提供了重要的理论基础。In this article,through in-depth study and analysis of the cause of the self-similar phenomenon of network traffic and influence to network performance,and analyzes the features of network data transfer process,establishs stochastic Petri net models.On account of the effects of self-similarity on network,gives stochastic Petri net models of self-similar network traffic.After that,sets up an infinite buffer IP layer net model and a limited buffer ethernet model with Petri net components.A Markov stochastic Petri net method is used to analyze the models.It shows that there does exist self-similarity in the real network through an example.Finally they are simulated and verified based on stochastic Petri analysis tool SPNP.This thesis focuses on self-similarity of network traffic and its influences on network performance.The model brought forward in this thesis can characterize the statistical behavior of network traffic to some extent and it provides a solid foundation for construction,analysis and evaluation of the network.

关 键 词：随机PETRI网 网络业务流 自相似性 

分 类 号：TP393.0[自动化与计算机技术—计算机应用技术]