Performance study of web caching algorithms in a home network with video traffic
<p> 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...
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California State University, Long Beach
2015
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ndltd-PROQUEST-oai-pqdtoai.proquest.com-15957952015-09-20T15:58:11Z Performance study of web caching algorithms in a home network with video traffic Suh, Peter Computer science <p> 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. </p> California State University, Long Beach 2015-09-12 00:00:00.0 thesis http://pqdtopen.proquest.com/#viewpdf?dispub=1595795 EN |
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NDLTD |
| language |
EN |
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NDLTD |
| topic |
Computer science |
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Computer science Suh, Peter Performance study of web caching algorithms in a home network with video traffic |
| description |
<p> 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. </p> |
| author |
Suh, Peter |
| author_facet |
Suh, Peter |
| author_sort |
Suh, Peter |
| title |
Performance study of web caching algorithms in a home network with video traffic |
| title_short |
Performance study of web caching algorithms in a home network with video traffic |
| title_full |
Performance study of web caching algorithms in a home network with video traffic |
| title_fullStr |
Performance study of web caching algorithms in a home network with video traffic |
| title_full_unstemmed |
Performance study of web caching algorithms in a home network with video traffic |
| title_sort |
performance study of web caching algorithms in a home network with video traffic |
| publisher |
California State University, Long Beach |
| publishDate |
2015 |
| url |
http://pqdtopen.proquest.com/#viewpdf?dispub=1595795 |
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AT suhpeter performancestudyofwebcachingalgorithmsinahomenetworkwithvideotraffic |
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