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Dissertation/Thesis Abstract

Performance study of web caching algorithms in a home network with video traffic
by Suh, Peter, M.S., California State University, Long Beach, 2015, 42; 1595795
Abstract (Summary)

Internet traffic is growing at a significant pace, especially with video content that already accounts for more than 50% of total of internet traffic. The reasons for this trend are increasing numbers in mobile devices, shifting focus from traditional television media to the online content, and advancement in internet technology. Internet infrastructure is facing challenges as it tries to meet the demand for video traffic. One solution is web caching, an area of research with many different proposed algorithms and implementations. This thesis examines the performance of a set of algorithms using a popular web caching software, Squid. The tests are done using a web automation tool, Selenium, to browse the web from a home network in three different scenarios: checking web content, videos, and a mix of web content and videos.

Indexing (document details)
Advisor: Maples, Tracy B.
Commitee: Aliasgari, Mehrdad, Englert, Burkhard
School: California State University, Long Beach
Department: Computer Engineering and Computer Science
School Location: United States -- California
Source: MAI 55/01M(E), Masters Abstracts International
Subjects: Computer science
Keywords: Proxy, Selenium, Squid, Streaming video, Web caching
Publication Number: 1595795
ISBN: 978-1-321-95324-4
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