Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • 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
A Study of Factors Which Influence QoD of HTTP Video Streaming Based on Adobe Flash Technology
Blekinge Institute of Technology, School of Computing.
Blekinge Institute of Technology, School of Computing.
2013 (English)Independent thesis Advanced level (degree of Master (Two Years))Student thesis
Abstract [en]

Recently, there has been a significant rise in the Hyper-Text Transfer Protocol (HTTP) video streaming usage worldwide. However, the knowledge of performance of HTTP video streaming is still limited, especially in the aspect of factors which affect video quality. The reason is that HTTP video streaming has different characteristics from other video streaming systems. In this thesis, we show how the delivered quality of a Flash video playback is affected by different factors from diverse layers of the video delivery system, including congestion control algorithm, delay variation, playout buffer length, video bitrate and so on. We introduce Quality of Delivery Degradation (QoDD) then we use it to measure how much the Quality of Delivery (QoD) is degraded in terms of QoDD. The study is processed in a dedicated controlled environment, where we could alter the influential factors and then measure what is happening. After that, we use statistic method to analyze the data and find the relationships between influential factors and quality of video delivery which are expressed by mathematic models. The results show that the status and choices of factors have a significant impact on the QoD. By proper control of the factors, the quality of delivery could be improved. The improvements are approximately 24% by TCP memory size, 63% by congestion control algorithm, 30% by delay variation, 97% by delay when considering delay variation, 5% by loss and 92% by video bitrate.

Place, publisher, year, edition, pages
2013. , 69 p.
Keyword [en]
Quality of Delivery, QoD, Quality of Delivery Degradation, QoDD, influential factors, congestion control algorithm, TCP memory size, delay, delay variation, playout buffer length, video bitrate
National Category
Computer Science Telecommunications
Identifiers
URN: urn:nbn:se:bth-2488Local ID: oai:bth.se:arkivex79A1423A1CAC4992C1257B3B0079CA43OAI: oai:DiVA.org:bth-2488DiVA: diva2:829767
Uppsok
Technology
Supervisors
Available from: 2015-04-22 Created: 2013-03-27 Last updated: 2015-06-30Bibliographically approved

Open Access in DiVA

fulltext(2053 kB)123 downloads
File information
File name FULLTEXT01.pdfFile size 2053 kBChecksum SHA-512
354ca4c96a18805c9295c568da504344d994eeddc879369eda1fb6fa4c13f924a33c206066347cbaba5c6d2685c61bf2d44ab218eab7cf1c29791a2977b50f9f
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Sun, Bin
By organisation
School of Computing
Computer ScienceTelecommunications

Search outside of DiVA

GoogleGoogle Scholar
Total: 123 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 70 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • 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