Operational Considerations for Streaming Media
draft-ietf-mops-streaming-opcons-01
MOPS J. Holland
Internet-Draft Akamai Technologies, Inc.
Intended status: Informational A. Begen
Expires: 10 September 2020 Networked Media
S. Dawkins
Tencent America LLC
9 March 2020
Operational Considerations for Streaming Media
draft-ietf-mops-streaming-opcons-01
Abstract
This document provides an overview of operational networking issues
that pertain to quality of experience in delivery of video and other
high-bitrate media over the internet.
Status of This Memo
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This Internet-Draft will expire on 10 September 2020.
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Holland, et al. Expires 10 September 2020 [Page 1]
Internet-Draft Media Streaming Ops March 2020
Table of Contents
1. Introduction . . . . . . . . . . . . . . . . . . . . . . . . 2
1.1. Venues for Contribution and Discussion . . . . . . . . . 3
2. Bandwidth Provisioning . . . . . . . . . . . . . . . . . . . 3
2.1. Scaling Requirements for Media Delivery . . . . . . . . . 3
2.1.1. Video Bitrates . . . . . . . . . . . . . . . . . . . 3
2.1.2. Virtual Reality Bitrates . . . . . . . . . . . . . . 4
2.2. Path Requirements . . . . . . . . . . . . . . . . . . . . 4
2.3. Caching Systems . . . . . . . . . . . . . . . . . . . . . 5
2.4. Predictable Usage Profiles . . . . . . . . . . . . . . . 5
2.5. Unpredictable Usage Profiles . . . . . . . . . . . . . . 5
3. Adaptive Bitrate . . . . . . . . . . . . . . . . . . . . . . 6
3.1. Overview . . . . . . . . . . . . . . . . . . . . . . . . 6
3.2. Segmented Delivery . . . . . . . . . . . . . . . . . . . 7
3.2.1. Idle Time between Segments . . . . . . . . . . . . . 7
3.2.2. Head-of-Line Blocking . . . . . . . . . . . . . . . . 7
3.3. Unreliable Transport . . . . . . . . . . . . . . . . . . 8
4. Doc History and Side Notes . . . . . . . . . . . . . . . . . 8
5. IANA Considerations . . . . . . . . . . . . . . . . . . . . . 9
6. Security Considerations . . . . . . . . . . . . . . . . . . . 9
7. Acknowledgements . . . . . . . . . . . . . . . . . . . . . . 9
8. Informative References . . . . . . . . . . . . . . . . . . . 9
Authors' Addresses . . . . . . . . . . . . . . . . . . . . . . . 10
1. Introduction
As the internet has grown, an increasingly large share of the traffic
delivered to end users has become video. Estimates put the total
share of internet video traffic at 75% in 2019, expected to grow to
82% by 2022. What's more, this estimate projects the gross volume of
video traffic will more than double during this time, based on a
compound annual growth rate continuing at 34% (from Appendix D of
[CVNI]).
In many contexts, video traffic can be handled transparently as
generic application-level traffic. However, as the volume of video
traffic continues to grow, it's becoming increasingly important to
consider the effects of network design decisions on application-level
performance, with considerations for the impact on video delivery.
This document aims to provide a taxonomy of networking issues as they
relate to quality of experience in internet video delivery. The
focus is on capturing characteristics of video delivery that have
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