Enhancement of Web Object Speculative Retrieval

Prefetching is a technique that has the potential to reduce waiting time for retrieving data over slow communications channels, such as wireless mobile networks and dial-up modem Internet connections. Prefetching performance is measured by the accuracy employed in determining what to prefetch within...

Full description

Saved in:
Bibliographic Details
Published inInternational journal of computers & applications Vol. 27; no. 3; pp. 139 - 146
Main Author Pons, A.P.
Format Journal Article
LanguageEnglish
Published Anaheim, CA Taylor & Francis 01.01.2005
Calgary, AB Acta Press
Zürich
Subjects
Applied sciences
Exact sciences and technology
Information theory
Information, signal and communications theory
object bundling
Prefetching
Telecommunications and information theory
web predictor
Performance evaluation
Probabilistic approach
Prefetching
Predictor
Information retrieval
Markov model
Pattern recognition
Combinatorial optimization
Waiting time
Knapsack problem
web predictor
Accuracy
Simulation
Object detection
World wide web
Signal processing
Feature extraction
Internet
object bundling
Target detection
Online AccessGet full text

Cover

More Information
Summary:Prefetching is a technique that has the potential to reduce waiting time for retrieving data over slow communications channels, such as wireless mobile networks and dial-up modem Internet connections. Prefetching performance is measured by the accuracy employed in determining what to prefetch within the limited time associated with the currently rendered web page. This article proposes a web application prefetcher based on a Markov model predictor that uses a Knapsack method to conduct object bundling, which increases the rendering speed of future web pages. Through web simulation from actual website traces, the proposed technique reduces the rendering delay of most future web page compared to demand requests.
ISSN:1206-212X
1925-7074
DOI:10.1080/1206212X.2005.11441766