DocumentCode :
3127915
Title :
How´s My Network? Predicting performance from within a Web browser sandbox
Author :
Kaplan, M. ; Zeljkovic, M. ; Claypool, Mark ; Wills, C.
Author_Institution :
Comput. Sci. Dept., Worcester Polytech. Inst., Worcester, MA, USA
fYear :
2012
fDate :
22-25 Oct. 2012
Firstpage :
521
Lastpage :
528
Abstract :
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.
Keywords :
Internet; computer network performance evaluation; electronic publishing; online front-ends; retail data processing; social networking (online); How´s my network; Internet activities; Internet performance; Internet performance measurements; Web browser sandbox; Web site project; home users; online news; online shopping; scripting techniques; social networks; Browsers; Containers; Internet; Prediction methods; Servers; Web pages;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Local Computer Networks (LCN), 2012 IEEE 37th Conference on
Conference_Location :
Clearwater, FL
ISSN :
0742-1303
Print_ISBN :
978-1-4673-1565-4
Type :
conf
DOI :
10.1109/LCN.2012.6423670
Filename :
6423670
Link To Document :
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