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ARTEMIS: Adaptive bitrate ladder optimization for live video streaming
| dc.contributor.author | Tashtarian, Farzad | |
| dc.contributor.author | Bentaleb, Abdelhak | |
| dc.contributor.author | Amirpour, Hadi | |
| dc.contributor.author | Gorinsky, Sergey | |
| dc.contributor.author | Jiang, Junchen | |
| dc.contributor.author | Hellwagner, Hermann | |
| dc.contributor.author | Timmerer, Christian | |
| dc.date.accessioned | 2023-10-23T10:55:00Z | |
| dc.date.available | 2023-10-23T10:55:00Z | |
| dc.date.issued | 2024-04-16 | |
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| dc.identifier.uri | https://hdl.handle.net/20.500.12761/1760 | |
| dc.description | The conference acronym is USENIX NSDI 2024. | es |
| dc.description.abstract | Live streaming of segmented videos over the Hypertext Transfer Protocol (HTTP) is increasingly popular and serves heterogeneous clients by offering each segment in multiple representations. A bitrate ladder expresses this choice as a list of bitrate-resolution pairs. Whereas existing solutions for HTTP-based live streaming use a static bitrate ladder, the fixed ladders struggle to appropriately accommodate the dynamics in the video content and network-conditioned client capabilities. This paper proposes ARTEMIS as a practical scalable alternative that dynamically configures the bitrate ladder depending on the content complexity, network conditions, and clients' statistics. ARTEMIS seamlessly integrates with the end-to-end streaming pipeline and operates transparently to video encoders and clients. We develop a cloud-based implementation of ARTEMIS and conduct extensive real-world and trace-driven experiments. The experimental comparison vs. existing prominent bitrate ladders demonstrates that live streaming with ARTEMIS outperforms all baseline solutions, reduces encoding computation by 25%, end-to-end latency by 18%, and increases the quality of experience by 11%. | es |
| dc.description.sponsorship | Spanish Ministry of Science and Innovation | es |
| dc.description.sponsorship | Austrian Federal Ministry for Digital and Economic Affairs, National Foundation for Research, Technology and Development, and Christian Doppler Research Association | es |
| dc.language.iso | eng | es |
| dc.title | ARTEMIS: Adaptive bitrate ladder optimization for live video streaming | es |
| dc.type | conference object | es |
| dc.conference.date | 16-18 April 2024 | es |
| dc.conference.place | Santa Clara, CA, USA | es |
| dc.conference.title | USENIX Symposium on Networked Systems Design and Implementation | * |
| dc.event.type | conference | es |
| dc.pres.type | paper | es |
| dc.type.hasVersion | AM | es |
| dc.rights.accessRights | open access | es |
| dc.page.final | 21 | es |
| dc.page.initial | 1 | es |
| dc.relation.projectName | SocialProbing (Scalable and Cost Competitive Data Collection and Analysis Techniques for Social Probing) and GreenEdge (Energy-efficient Monitoring in the era of Edge Intelligence) | es |
| dc.relation.projectName | Christian Doppler Laboratory ATHENA | es |
| dc.subject.keyword | live video streaming | es |
| dc.subject.keyword | bitrate ladder | es |
| dc.subject.keyword | dynamic configuration | es |
| dc.subject.keyword | optimization | es |
| dc.description.refereed | TRUE | es |
| dc.description.status | inpress | es |
