Predictive web prefetching using mouse movement

The delay of web page loading time becomes one important factor of user experience. Lots of users are impatient. Therefore reducing the delay is important for both individuals and companies. This paper will use the prefetching techniques to predict and fetch the next clicked links objects before the user clicks on that link to reduce user-perceived latency. Though lots of prefetching techniques are already studied, none of them use user mouse movement trace to do prediction. This paper will deploy the trace as source and will examine three simple heuristics for the prediction. Each heuristic will be evaluated through simulation and implemented. The results show that they would work well on average under certain parameter values and there are still limitations to be improved.

Name thesis:degree_name

M.S.

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Computer Science

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2014

Author dc:creator

• Yang, Yiwei

Contributors dc:contributor

• Caesar, Matthew C.

• web prefetching
• mouse movement trace
• Latency

Statement dc:rights

• Copyright 2013 Yiwei Yang

Language dc:language

en

Handle dc:identifier

http://hdl.handle.net/2142/46837

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/46837