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dc.contributor.authorBentaleb, A.
dc.contributor.authorTimmerer, C.
dc.contributor.authorBeğen, Ali Cengiz
dc.contributor.authorZimmermann, R.
dc.date.accessioned2020-09-29T13:01:53Z
dc.date.available2020-09-29T13:01:53Z
dc.date.issued2019-06
dc.identifier.isbn978-145036299-3
dc.identifier.urihttp://hdl.handle.net/10679/6970
dc.identifier.urihttps://dl.acm.org/doi/10.1145/3304112.3325611
dc.description.abstractHTTP adaptive streaming with chunked transfer encoding can be used to offer low-latency streaming without sacrificing the coding efficiency. While this allows a media segment to be generated and delivered at the same time, which is critical in reducing the latency, the conventional bitrate adaptation schemes make often grossly inaccurate bandwidth measurements due to the presence of idle periods between the chunks. These wrong measurements cause the streaming client to make bad adaptation decisions. To this end, we design ACTE, a new bitrate adaptation scheme that leverages the unique nature of chunk downloads. ACTE uses a sliding window to accurately measure the available bandwidth and an online linear adaptive filter to predict the bandwidth into the future. Results show that ACTE achieves 96% measurement accuracy, which translates to a 65% reduction in the number of stalls and a 49% increase in quality of experience on average compared to other schemes.en_US
dc.description.sponsorshipThe Singapore Ministry of Education Academic Research Fund ; The Austrian Research Promotion Agency (FFG)
dc.language.isoengen_US
dc.publisherThe ACM Digital Libraryen_US
dc.relation.ispartofNOSSDAV '19: Proceedings of the 29th ACM Workshop on Network and Operating Systems Support for Digital Audio and Video
dc.rightsrestrictedAccess
dc.titleBandwidth prediction in low-latency chunked streamingen_US
dc.typeConference paperen_US
dc.publicationstatusPublisheden_US
dc.contributor.departmentÖzyeğin University
dc.contributor.authorID(ORCID 0000-0002-0835-3017 & YÖK ID 217660) Beğen, Ali
dc.contributor.ozuauthorBeğen, Ali Cengiz
dc.identifier.startpage7en_US
dc.identifier.endpage13en_US
dc.identifier.wosWOS:000946015000002
dc.identifier.doihttps://doi.org/10.1145/3304112.3325611en_US
dc.subject.keywordsABRen_US
dc.subject.keywordsBandwidth measurement and predictionen_US
dc.subject.keywordsCMAFen_US
dc.subject.keywordsDASHen_US
dc.subject.keywordsHASen_US
dc.subject.keywordsHTTP chunked transfer encodingen_US
dc.subject.keywordsLow-latencyen_US
dc.subject.keywordsRLSen_US
dc.identifier.scopusSCOPUS:2-s2.0-85069166604
dc.relation.publicationcategoryConference Paper - International - Institutional Academic Staff


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