Last Call: <draft-ietf-rmcat-video-traffic-model-06.txt> (Video Traffic Models for RTP Congestion Control Evaluations) to Informational RFC
The IESG <iesg-secretary@ietf.org> Mon, 14 January 2019 17:46 UTC
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From: The IESG <iesg-secretary@ietf.org>
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Subject: Last Call: <draft-ietf-rmcat-video-traffic-model-06.txt> (Video Traffic Models for RTP Congestion Control Evaluations) to Informational RFC
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CC: rmcat-chairs@ietf.org, draft-ietf-rmcat-video-traffic-model@ietf.org, Colin Perkins <csp@csperkins.org>, rmcat@ietf.org, ietf@kuehlewind.net, csp@csperkins.org
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Date: Mon, 14 Jan 2019 09:46:49 -0800
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The IESG has received a request from the RTP Media Congestion Avoidance Techniques WG (rmcat) to consider the following document: - 'Video Traffic Models for RTP Congestion Control Evaluations' <draft-ietf-rmcat-video-traffic-model-06.txt> as Informational RFC The IESG plans to make a decision in the next few weeks, and solicits final comments on this action. Please send substantive comments to the ietf@ietf.org mailing lists by 2019-01-28. Exceptionally, comments may be sent to iesg@ietf.org instead. In either case, please retain the beginning of the Subject line to allow automated sorting. Abstract This document describes two reference video traffic models for evaluating RTP congestion control algorithms. The first model statistically characterizes the behavior of a live video encoder in response to changing requests on target video rate. The second model is trace-driven, and emulates the output of actual encoded video frame sizes from a high-resolution test sequence. Both models are designed to strike a balance between simplicity, repeatability, and authenticity in modeling the interactions between a live video traffic source and the congestion control module. Finally, the document describes how both approaches can be combined into a hybrid model. The file can be obtained via https://datatracker.ietf.org/doc/draft-ietf-rmcat-video-traffic-model/ IESG discussion can be tracked via https://datatracker.ietf.org/doc/draft-ietf-rmcat-video-traffic-model/ballot/ No IPR declarations have been submitted directly on this I-D.