Details

Autor(en) / Beteiligte

• Yang, Qiang
• Huang, Joshua Zhexue
• Ng, Michael

Titel

A Data Cube Model for Prediction-Based Web Prefetching

Ist Teil von

• Journal of intelligent information systems, 2003-01, Vol.20 (1), p.11

Ort / Verlag

New York: Springer Nature B.V

Erscheinungsjahr

2003

Link zum Volltext

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• Reducing the Web latency is one of the primary concerns of Internet research. Web caching and Web prefetching are 2 effective techniques to latency reduction. A data-cube model is presented to represent Web access sessions for data mining for supporting the prediction model construction. The cube model organizes session data into three dimensions. With the data cube in place, efficient data mining algorithms for clustering and correlation analysis are applied. As a result of the analysis, the Web page clusters can then be used to guide the prefetching system. An integrated Web-caching and Web-prefetching model is proposed, where the issues of prefetching aggressiveness, replacement policy, and increased network traffic are addressed together in an integrated framework. The core of the integrated solution is a prediction model based on statistical correlation between Web objects.