基于Web流行度的选择Markov预取模型

Selective Markov Prefetching Model Based on Web Access Popularity

Web预取技术是目前WWW中减少用户的访问延迟、提高服务质量的主要解决方案之一。该文利用Zipf第1定律和第2定律对Web对象访问流行度建模,并在此基础上,提出了基于Web流行度的选择Markov预取模型。实验表明,该预取模型不仅具有较高的命中率,而且在一定程度上还减少了对带宽的需求。

Web prefetching is one of the main solutions used to reduce user＇s latency and improve the QoS, This paper makes use of Zipf＇s first and second law to set up a Web access popularity model, by use of which a selective Markov prefetching model is presented. The experiments show that the model can achieve a good hit ratio and reduce the traffic load to some degree.