基于结构相关性Markov模型的Web网页预取方法  

Prefetching Web Pages by Using a Structural-Relation-based Markov Model

作　　者：张丽[1] 郭成城[1] 晏蒲柳[1] 

机构地区：[1]武汉大学电子信息学院,武汉430079

出　　处：《计算机工程与应用》2004年第21期163-166,共4页Computer Engineering and Applications

摘　　要：预取技术通过在用户浏览当前网页的时间内提前取回其将来最有可能请求的网页来减小实际感知的获取网页的时间。预测的准确性和方法的可用性是预取技术需要解决的主要问题。针对目前Web网页预取的一般方法的不足之处,提出了一种基于结构相关性Markov模型的Web网页预取方法。仿真实验的结果表明,这种方法在保证一定预测准确性的同时也具有较好的可用性,能够在减小用户访问延迟、提高响应速度方面达到较为满意的效果。Prefetching can reduce the retrieval time perceived by users by predicting and fetching the most likely Web pages that are to be requested soon,while the user is browsing through the current displayed page.The precision of predicting and applicability of the method are the major problems needed to be resolved.To avoid the faults of current general ones,this article presents a new prefetching method which uses the structural-relation-based Markov model.Results of stimulation experiment show that this method has excellent applicability as well as certain precision,and can acquire satisfactory effects in reducing latency and improving response speed.

关 键 词：预取 Web网页相关性 MARKOV模型 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]