Bandwidth prediction in low-latency chunked streaming

Title Bandwidth prediction in low-latency chunked streaming
Author Bentaleb, A., Timmerer, C., Beğen, Ali Cengiz, Zimmermann, R.
Publication Date: 2019-06
Publication Place - The ACM Digital Library
Subject ABR, Bandwidth measurement and prediction, CMAF, DASH, HAS, HTTP chunked transfer encoding, Low-latency, RLS
Type Document
Language English
Digital Yes
Manuscript No
Library: Özyeğin University
Library Asset ID 978-145036299-3
Record ID bb57f536-adb6-4e38-9a4c-51406bca84c5
Library Location Computer Science
Date 2019-06
Notes The Singapore Ministry of Education Academic Research Fund ; The Austrian Research Promotion Agency (FFG)
Sample Text HTTP 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.
DOI 10.1145/3304112.3325611
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Bandwidth prediction in low-latency chunked streaming

Author Bentaleb, A., Timmerer, C., Beğen, Ali Cengiz, Zimmermann, R.
Publication Date 2019-06
Publication Place - The ACM Digital Library
Subject ABR, Bandwidth measurement and prediction, CMAF, DASH, HAS, HTTP chunked transfer encoding, Low-latency, RLS
Type Document
Language English
Digital Yes
Manuscript No
Library Özyeğin University
Library Asset ID 978-145036299-3
Record ID bb57f536-adb6-4e38-9a4c-51406bca84c5
Library Location Computer Science
Date 2019-06
Notes The Singapore Ministry of Education Academic Research Fund ; The Austrian Research Promotion Agency (FFG)
Sample Text HTTP 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.
DOI 10.1145/3304112.3325611
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