Web服务器区域访问流量预测模型设计

Model Design of Forecasting Traffic of Accessing Web Server Basing on Domain

Web服务器上的日志文件记录了用户访问的许多有用的信息,分析和以它建立相应的预测模型,预测区域用户将来的访问行为,对提高Web服务器管理和服务质量,无疑是十分有价值的;Neuro-Fuzzy方法是将神经网络和模糊逻辑有机的结合,用于解决复杂的非线性问题;用它来进行Web服务器区域流量预测,是一种新的思路和方法。文章主要介绍了模型构造的基本思想、结构、算法,也介绍进化式聚类方法和预测过程;同时,给出了实验数据及分析。

The log files on a Web Server include many useful information about users.It is very helpful for improving the administration of Web Server and quality of service than forecasting the users' action at some areas by analyzing log files and creating the corresponding model.The Neuro -Fuzzy Method which integrates Artificial Neural Network(ANN)and Fuzzy Logic is often used to solve the complex and non-linear questions.It is a new idea and approach to forecast Web domain traffic by using Neuro-Fuzzy Method.This article introduces the base idea,structure and arithmetic about this model.Also the Evolving Clustering Method and the process of forecasting are introduced.At the same ,the ex-periment data and analysis are provided.