Video Streaming Transport: Measurements and Advances

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en Ahsan, Saba 2020-02-04T10:01:05Z 2020-02-04T10:01:05Z 2020
dc.identifier.isbn 978-952-60-8928-7 (electronic)
dc.identifier.isbn 978-952-60-8927-0 (printed)
dc.identifier.issn 1799-4942 (electronic)
dc.identifier.issn 1799-4934 (printed)
dc.identifier.issn 1799-4934 (ISSN-L)
dc.description.abstract Video streaming data forms the largest portion of the current Internet and is expected to rise even further. Providing and maintaining a high-quality experience for video is in the interest of both consumers and providers. However, the nature of network requirements for video traffic is different from other types of web traffic, and hence the goal requires a constant effort to advance video protocols in line with the changing Internet. This consists of not only developing new protocols and techniques to optimise the use of the Internet for video traffic but also developing meaningful video measurements that reflect user experience. In this thesis, we propose extensions and mechanisms to existing Internet protocols that enhance video quality and experience. We present results from experimentation that show how slight modifications to current protocols can be done to significantly improve the video streaming experience: (1) by introducing multiple path awareness (e.g. 3G, WiFi, Ethernet) to RTP, and (2) by using out of order delivery over TCP to improve timeliness for adaptive streaming. We also present a framework for enhancing current edge network measurements to encompass video experience using active testing while keeping the tests computationally light and easily deployable for large-scale network measurements. This thesis contributes to an evolving Internet, where video traffic has gained an equal if not higher importance to other web traffic. The large-scale video tests provide a mechanism where subscribers and Internet providers can better gauge performance from a video perspective, whereas, the work on adaptive video streaming over partially reliable and out of order transport paves the way for newer Internet protocols, which are now widely being recognised as a need of the hour in the heavily ossified and somewhat inflexible Internet. en
dc.format.extent 88 + app. 63
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Aalto University en
dc.publisher Aalto-yliopisto fi
dc.relation.ispartofseries Aalto University publication series DOCTORAL DISSERTATIONS en
dc.relation.ispartofseries 15/2020
dc.relation.haspart [Publication 1]: S. Ahsan, V. Singh, J. Ott. Impact of Duration on Active Video Testing. Proceedings of the 26th International Workshop on Network and Operating Systems Support for Digital Audio and Video, Klagenfurt, Austria, May 2016. DOI: 10.1145/2910642.2910651
dc.relation.haspart [Publication 2]: S. Ahsan, V. Bajpai, J. Ott, J. Schönwälder. Measuring YouTube from Dual-stacked Hosts. In International Conference on Passive and Active Network Measurement, p. 249-261, March 2015. DOI: 10.1007/978-3-319-15509-8_19
dc.relation.haspart [Publication 3]: V. Bajpai, S. Ahsan, J. Schönwälder, J. Ott. Measuring YouTube Content Delivery over IPv6. ACM SIGCOMM Computer Communication Review, 2017, Volume 47, Issue 5. DOI: 10.1145/3155055.3155057
dc.relation.haspart [Publication 4]: V. Singh, S. Ahsan, J. Ott. MPRTP: Multipath Considerations for Real-time Media. In Proceedings of the 4th ACM Multimedia Systems Conference, Oslo, Norway, March 2013. DOI: 10.1145/2483977.2484002
dc.relation.haspart [Publication 5]: S. Ahsan, S. McQuistin, C. Perkins, J. Ott. DASHing towards Hollywood. In Proceedings of the 9th ACM Multimedia Systems Conference, Amsterdam, Netherlands, June 2018. Signals, Systems, and Computers, 2018, pages 855-858. Full text in Acris/Aaltodoc: 10.1145/3204949.3204959
dc.subject.other Telecommunications engineering en
dc.subject.other Electrical engineering en
dc.title Video Streaming Transport: Measurements and Advances en
dc.type G5 Artikkeliväitöskirja fi Sähkötekniikan korkeakoulu fi School of Electrical Engineering en
dc.contributor.department Tietoliikenne- ja tietoverkkotekniikan laitos fi
dc.contributor.department Department of Communications and Networking en
dc.subject.keyword multipath RTP en
dc.subject.keyword adaptive video streaming en
dc.subject.keyword DASH en
dc.identifier.urn URN:ISBN:978-952-60-8928-7
dc.type.dcmitype text en
dc.type.ontasot Doctoral dissertation (article-based) en
dc.type.ontasot Väitöskirja (artikkeli) fi
dc.contributor.supervisor Ott, Jörg, Prof., Aalto University, Department of Communications and Networking, Finland
dc.opn Ammar, Mostafa, Prof., Georgia Institute of Technology, USA
dc.contributor.lab Networking Technology en
dc.rev Timmerer, Christian, Dr., Alpen-Adria-Universität Klagenfurt, Austria
dc.rev Schierl, Thomas, Dr., Fraunhofer Heinrich-Hertz-Institute, Germany 2020-02-21
local.aalto.acrisexportstatus checked 2020-03-16_1740
local.aalto.formfolder 2020_02_03_klo_15_25
local.aalto.archive yes

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