基于蚁群算法的煤矿企业计算机网络IP流量矩阵估计  

Coal Mining Enterprise Computer Network IP Traffic Matrix Estimation Based on Ant Colony Algorithm

作　　者：徐向艺[1] 

机构地区：[1]平顶山学院软件学院,河南平顶山467002

出　　处：《煤炭技术》2014年第2期180-182,共3页Coal Technology

摘　　要：能够完整性地将相应网络中IP流量分布情况进行描述的流量矩阵,它是煤矿企业计算机网络流量的概览,而且它与网络路由信息结合时反应度比较高,能够清晰明了地反映出来网络中的各个链路的流量成分,是网络管理和网络IP流量工程的一种关键性的输入参数值。概述了流量矩阵的含义与应用情况,分析了蚁群算法的机制与优缺点,具体论述了基于蚁群算法的煤矿企业计算机网络IP流量矩阵估计方法与模型建立,取得了很好的测试效果。To complete the flow matrix describing the eorrespondingnetwork IP flow distribution of coal mining enterprises, it isan overview of computer network traffic, and it andnetwork routing information binding reaction was relatively high, can be clearly reflected flow components of all links in the network, is a key input parameters of networkmanagement and network IP traffic engineering value.This paper outlines the meaning and application oftraffic matrix, analyzes the mechanism of ant colony algorithm and the advantages and disadvantages,expounds the establishment and model estimation method of coal mining enterprises of ant colony algorithm based on computer network IP traffic matrix, obtained very good test results.

关 键 词：蚁群算法 煤矿企业 计算机网络 IP流量矩阵估计 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构] TP393[自动化与计算机技术—计算机科学与技术]