Publikation: CADLAD: Device-aware Bitrate Ladder Con...
Stammdaten
Titel: | CADLAD: Device-aware Bitrate Ladder Construction for HTTP Adaptive Streaming |
Untertitel: | |
Kurzfassung: | In this paper, we introduce a CMCD-Aware per-Device bitrate LADder construction (CADLAD) that leverages the Common Media Client Data (CMCD) standard to address the above issues. CADLAD comprises components at both client and server sides. The client calculates the top bitrate (tb) — a CMCD parameter to indicate the highest bitrate that can be rendered at the client — and sends it to the server together with its device type and screen resolution. The server decides on a suitable bitrate ladder, whose maximum bitrate and resolution are based on CMCD parameters, to the client device with the purpose of providing maximum QoE while minimizing delivered data. CADLAD has two versions to work in Video on Demand (VoD) and live streaming scenarios. Our CADLAD is client agnostic; hence, it can work with any players and ABR algorithms at the client. The experimental results show that CADLAD is able to increase the QoE by 2.6x while saving 71% of delivered data, compared to an existing bitrate ladder of an available video dataset. We implement our idea within CAdViSE — an open-source testbed for reproducibility. |
Schlagworte: | HTTP Adaptive Streaming, QoE, live streaming, CMCD, bitrate ladder construction |
Publikationstyp: | Beitrag in Proceedings (Autorenschaft) |
Erscheinungsdatum: | 31.10.2022 (Print) |
Erschienen in: |
CNSM'22 Proceedings of the 18th International Conference on Network and Service Management
CNSM'22 Proceedings of the 18th International Conference on Network and Service Management
(
IEEE Xplore Digital Library;
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Titel der Serie: | - |
Bandnummer: | - |
Erstveröffentlichung: | Ja |
Version: | - |
Seite: | S. 198 - 204 |
Versionen
Keine Version vorhanden |
Erscheinungsdatum: | 31.10.2022 |
ISBN: |
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ISSN: | - |
Homepage: | https://ieeexplore.ieee.org/document/9964669 |
Erscheinungsdatum: | 02.12.2022 |
ISBN (e-book): | - |
eISSN: | 2165-963X |
DOI: | http://dx.doi.org/10.23919/cnsm55787.2022.9964669 |
Homepage: | https://ieeexplore.ieee.org/document/9964669 |
Open Access |
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AutorInnen
Minh Nguyen (intern) | ||||
Babak Taraghi (intern) | ||||
Abdelhak Bentaleb
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Roger Zimmermann (extern) | ||||
Christian Timmerer (intern) |
Zuordnung
Organisation | Adresse | ||||
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Fakultät für Technische Wissenschaften
Institut für Informationstechnologie
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AT - 9020 Klagenfurt am Wörthersee |
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Peer Reviewed |
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Klassifikationsraster der zugeordneten Organisationseinheiten:
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Kooperationen
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National University of Singapore
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SG - 119077 Singapur |
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