PREDICTION BY PARTIAL MATCH BASED WEB PREFETCHING
The key issue of Web prefetching is to establish an effective prediction model, which can be used to make precision prediction of user browsing actions. Prediction by Partial Match (PPM) is a sophisticated, state of the art compression algorithm. Due to the prediction mechanism, it can be used in the Web prefetching area. Prefetching should work with Web caching system in a seamless manner so that the limited resources such as memory and bandwidth can be managed more efficiently in Web environment. This paper discusses the PPM based Web prefetching mechanism in detail and presents an integrated Web prefetching and caching model. The experiments have shown that Web caching with PPM based prediction model can have a relative high performance and the combination of Web prefetching and caching holds the promise of improving the QoS of Web systems.
Predictive prefetching Web caching PPM Performance Evaluation
LEI SHI LIN WEI XIAOGUANG DING2 YINGJIE HAN YUN SHI
School of Information Engineering, Zhengzhou University, Zhengzhou 450052, China School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, China Department of Information Technology, State Post Bureau, Beijing 100808, China
国际会议
开封
英文
443-449
2006-10-15（万方平台首次上网日期，不代表论文的发表时间）