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Evaluation of QUIC on web page performance

Author(s)
Das, Somak R
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Alternative title
Designing a better transport protocol for the web
QuicShell
Other Contributors
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Advisor
Hari Balakrishnan.
Terms of use
M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582
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Abstract
This work presents the first study of a new protocol, QUIC, on Web page performance. Our experiments test the HTTP/1.1, SPDY, and QUIC multiplexing protocols on the Alexa U.S. Top 500 websites, across 100+ network configurations of bandwidth and round-trip time (both static links and cellular networks). To do so, we design and implement QuicShell, a tool for measuring QUIC's Web page performance accurately and reproducibly. Using QuicShell, we evaluate the strengths and weaknesses of QUIC. Due to its design of stream multiplexing over UDP, QUIC outperforms its predecessors over low-bandwidth links and high-delay links by 10 - 60%. It also helps Web pages with small objects and HTTPS-enabled Web pages. To improve QUIC's performance on cellular networks, we implement the Sprout-EWMA congestion control protocol and find that it improves QUIC's performance by > 10% on high-delay links.
Description
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2014.
 
19
 
Title as it appears in MIT commencement exercises program, June 6, 2014: Designing a better transport protocol for the web. Cataloged from PDF version of thesis.
 
Includes bibliographical references (pages 53-54).
 
Date issued
2014
URI
http://hdl.handle.net/1721.1/91444
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Publisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.

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