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37th Annual IEEE Conference on Local Computer Networks
How's My Network? Predicting performance from within a Web browser sandbox
Clearwater Beach, FL, USA USA
October 22-October 25
ISBN: 978-1-4673-1565-4
Murad Kaplan, Computer Science Department, Worcester Polytechnic Institute, Massachusetts 01609, USA
Mihajlo Zeljkovic, Computer Science Department, Worcester Polytechnic Institute, Massachusetts 01609, USA
Mark Claypool, Computer Science Department, Worcester Polytechnic Institute, Massachusetts 01609, USA
Craig Wills, Computer Science Department, Worcester Polytechnic Institute, Massachusetts 01609, USA
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.
Index Terms:
Browsers,Internet,Containers,Web pages,Prediction methods,Servers
Citation:
Murad Kaplan, Mihajlo Zeljkovic, Mark Claypool, Craig Wills, "How's My Network? Predicting performance from within a Web browser sandbox," lcn, pp.521-528, 37th Annual IEEE Conference on Local Computer Networks, 2012
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