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HTTP/2, Server Push and Branched Video: Evaluation of using HTTP/2 Server Push in Dynamic Adaptive Streaming over HTTP with linear and non-linear prefetching algorithms
Linköping University, Department of Computer and Information Science.
Linköping University, Department of Computer and Information Science.
2017 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesisAlternative title
Utvärdering av HTTP/2 Server Push vid adaptiv videoströmning (Swedish)
Abstract [en]

The purpose of this thesis is to investigate and test the usage of HTTP/2 in dynamic adaptive video streaming as well as to take a look into how it can be used to benefit prefetching algorithms used with branched video. With a series of experiments the performance gains of using HTTP/2 rather than the older standard HTTP/1.1 has been investigated. The results has shown no significant change to player quality and buffer occupancy when using HTTP/2, though our tests has shown in a slight decrease in overall playback quality when using HTTP/2. When using a linear prefetch of two fragments an average quality improvement of 4.59% has been shown, however, the result is inconclusive due to variations in average quality between different values for how many fragments to prefetch. Average buffer occupancy has shown promise with a maximum increase of 12.58%, when using linear prefetch with three fragments. The values for buffer occupancy gains are conclusive. Two implementations for non-linear prefetching has been made. The first one uses HTTP/2 server push to deliver fragments for prefetching and the second one uses client-side invoked HTTP requests to pull fragments from the server. Using HTTP/2 server push has shown in a decrease of 2.5% in average total load time while using client-side pulling has shown in a decrease of 34% in average total load time.

Place, publisher, year, edition, pages
2017. , p. 28
Keywords [en]
HTTP/2, Server Push, Branched video, Dynamic Adaptive Streaming over HTTP, DASH
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:liu:diva-138726ISRN: LIU-IDA/LITH-EX-G--17/073—SEOAI: oai:DiVA.org:liu-138726DiVA, id: diva2:1113506
Subject / course
Information Technology
Supervisors
Examiners
Available from: 2017-06-27 Created: 2017-06-21 Last updated: 2018-01-13Bibliographically approved

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HTTP/2, Server Push and Branched Video(384 kB)122 downloads
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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf