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ARTEMIS: Adaptive bitrate ladder optimization for live video streaming

dc.contributor.authorTashtarian, Farzad
dc.contributor.authorBentaleb, Abdelhak
dc.contributor.authorAmirpour, Hadi
dc.contributor.authorGorinsky, Sergey 
dc.contributor.authorJiang, Junchen
dc.contributor.authorHellwagner, Hermann
dc.contributor.authorTimmerer, Christian
dc.date.accessioned2023-10-23T10:55:00Z
dc.date.available2023-10-23T10:55:00Z
dc.date.issued2024-04-16
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dc.identifier.urihttps://hdl.handle.net/20.500.12761/1760
dc.descriptionThe conference acronym is USENIX NSDI 2024.es
dc.description.abstractLive 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.sponsorshipSpanish Ministry of Science and Innovationes
dc.description.sponsorshipAustrian Federal Ministry for Digital and Economic Affairs, National Foundation for Research, Technology and Development, and Christian Doppler Research Associationes
dc.language.isoenges
dc.titleARTEMIS: Adaptive bitrate ladder optimization for live video streaminges
dc.typeconference objectes
dc.conference.date16-18 April 2024es
dc.conference.placeSanta Clara, CA, USAes
dc.conference.titleUSENIX Symposium on Networked Systems Design and Implementation*
dc.event.typeconferencees
dc.pres.typepaperes
dc.type.hasVersionAMes
dc.rights.accessRightsopen accesses
dc.page.final21es
dc.page.initial1es
dc.relation.projectNameSocialProbing (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.projectNameChristian Doppler Laboratory ATHENAes
dc.subject.keywordlive video streaminges
dc.subject.keywordbitrate ladderes
dc.subject.keyworddynamic configurationes
dc.subject.keywordoptimizationes
dc.description.refereedTRUEes
dc.description.statusinpresses


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