Measuring Internet performance for home users can provide useful information for improving networks. Unfortunately, Internet measurements typically require users to install special software, a major impediment to use. To overcome this impediment, we designed and implemented several scripting techniques to predict Internet performance from within the tightly constrained sandbox environment of a Web browser. Our techniques are integrated into a Web site project called "How's My Network" that provides predictions for common Internet activities, with this paper concentrating on the performance of online news, social networks, and online shopping. The contributions of this work include the design, implementation and evaluation of new approaches for predicting Web browser performance.

Download:

• Paper: pdf
• Slides: pptx
• Web site: How's My Network

See also:

• Artur Janc, Craig Wills and Mark Claypool. Network Performance Evaluation in a Web Browser, In Proceedings of the 21st IASTED International Conference on Parallel and Distributed Computing and Systems (PDCS), Cambridge, Massachusetts, USA, November 2009. Online at: http://www.cs.wpi.edu/~claypool/papers/hmn-flash/

• Alan Ritacco, Craig Wills and Mark Claypool. How's My Network? - A Java Approach to Home Network Measurement, In Proceedings of the 18th International Conference on Computer Communications and Networks (ICCCN), San Francisco, California, USA, August 2009. Online at: http://www.cs.wpi.edu/~claypool/papers/hmn-java/

This material is based upon work supported by the National Science Foundation under Grant Number 0959441. Any opinions, findings and conclusions or recomendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation (NSF).