Abstract: Adaptive video streaming systems typically support different media delivery formats, e.g., MPEG-DASH and HLS,
replicating the same content multiple times into the network. Such a
diversified system results in inefficient use of storage, caching, and bandwidth resources. The Common Media Application Format (CMAF) emerges to simplify HTTP Adaptive Streaming (HAS), providing a single encoding and packaging format of segmented media content and offering the opportunities of bandwidth savings, more cache hits, and less storage needed. However,
CMAF is not yet supported by most devices. To solve this issue, we
present a solution where we maintain the main advantages of CMAF while supporting heterogeneous devices using
different media delivery formats. For that purpose, we propose to
dynamically convert the content from CMAF to the desired media delivery
format at an edge node. We study the bandwidth savings with our proposed
approach using an analytical model and simulation, resulting in
bandwidth savings of up to 20% with different media delivery format
distributions.
We analyze the runtime impact of the required operations on the
segmented content performed in two scenarios: the classic one, with four
different media delivery formats, and the proposed scenario, using
CMAF-only delivery through the network. We compare both scenarios with different edge compute power assumptions.
Finally, we perform experiments in a real video streaming testbed
delivering MPEG-DASH using CMAF content to serve a DASH and an HLS
client, performing the media conversion for the latter one.
Keywords: CMAF, Edge Computing, HTTP Adaptive Streaming (HAS)
Acknowledgments: The financial support of the Austrian Federal Ministry for Digital and Economic Affairs, the National Foundation for Research, Technology and Development, and the Christian Doppler Research Association, is gratefully acknowledged. Christian Doppler Laboratory ATHENA: https://athena.itec.aau.at/.
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