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排队论在电力信息网络系统中的应用研究
引用本文:倪俊.排队论在电力信息网络系统中的应用研究[J].湖北民族学院学报(哲学社会科学版),2007,25(2):207-210.
作者姓名:倪俊
作者单位:华中科技大学计算机科学与技术学院 湖北武汉430074
基金项目:国家高技术研究发展计划(863计划)
摘    要:将M/M/1模型与网络通信处理过程进行了建模分析比较,得出了服务时间、发送速率、接收缓冲区的大小之间的数学关系.在此基础上,结合电力信息网络对网络带宽的要求,提出了基于排队论和服务质量的网络带宽估算方法,并以IP电话为例,给出了详细的计算过程.该方法能在对应用系统进行详细分类的基础上,利用M/M/1排队模型,直观、准确地估算出主干网络带宽.该方法适用于电力信息网络系统各种主干网带宽估算,对电力信息化建设具有指导意义.

关 键 词:排队论  网络建模  电力信息网络  网络流量估算  服务质量
文章编号:1008-8423(2007)02-0207-04
收稿时间:2006-12-28
修稿时间:2006-12-28

Research on Application of Queuing Theory in the Electric Power Information Network System
NI Jun.Research on Application of Queuing Theory in the Electric Power Information Network System[J].Journal of Hubei Institute for Nationalities(Natural Sciences),2007,25(2):207-210.
Authors:NI Jun
Affiliation:School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
Abstract:This paper first presents a deeper introduction to the M/M/1 model,and then,various network simulation and analysis methods of the process of network communication are compared in the paper.As a result,a mathematic equation is obtained,which shows the relations among the service time,the send rate and the buffer size.According to the requirement of bandwidth of the electric power information network,an approach is proposed to estimate the bandwidth based on queuing theory and quality of service(QoS).Applications in the electric power enterprise can be classified according to their QoS parameters.For a certain application,several results can be calculated using M/M/1 queuing model and its QoS parameters.A reasonable bandwidth for the application can be obtained by comparing the results.The whole bandwidth requirement can then be estimated after all the bandwidth needs are calculated.Detailed process steps are given for IP telephone bandwidth estimation.This method is suitable for estimation of the various backbone bandwidths of the electric power information network system and can be used for guiding the electric power information construction.
Keywords:queuing theory  network modeling  electric power information network  network bandwidth estimation  QoS
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