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Part of book or chapter of book . 2024
License: CC BY
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https://doi.org/10.5753/sbc.15...
Part of book or chapter of book . 2024 . Peer-reviewed
Data sources: Crossref
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Content Steering: Leveraging the Computing Continuum to Support Adaptive Video Streaming

Authors: Rodrigues Filho, Roberto; Gamas, Eduardo; Miranda Assis, Marcio; Immich, Roger; Madeira, Edmundo; Bittencourt, Luiz Fernando;

Content Steering: Leveraging the Computing Continuum to Support Adaptive Video Streaming

Abstract

Video streaming has become one of the most used Internet applications nowadays, withnumerous leading technology companies competing for dominance in a market valued inthe billions. The delivery of high-quality streaming services requires strategic utilizationof computing resources near end-users. Emerging technologies like 6G and edge-cloudcontinuum infrastructures are being explored to meet the growing demands. These tech-nologies promise to enable fast and reliable data transfer for large data volumes, withthe edge-cloud continuum facilitating service placement mobility from central cloud datacenters to edge devices near users. However, managing seamless service mobility and pre-cise computing resource allocation for quality services remains complex. In the light ofthis, the zero-touch network concept was born. It eliminates the need for manual networkconfiguration and it is becoming popular in this context. Specifically, in video streaming,the integration of the Content Steering architecture from the Dynamic Adaptive Stream-ing over HTTP (DASH) protocol with container orchestration technologies could allowfor autonomous video streaming service placement across the computing continuum, re-ducing human involvement and optimizing computing resource use. This short courseprovides a hands-on experience with the latest technology in this domain, teaching par-ticipants about cutting-edge architectures and tools for creating and managing adaptivevideo streaming applications using the latest content steering architecture introduced inthe DASH protocol. Participants will build a small edge-cloud virtual and local testbedto explore request steering strategies for video content across the computing continuum.The course also addresses current challenges and future research opportunities in thisevolving field.

Keywords

WP.DM1, RS.DEMIST

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green