Media Operations Use Case for an Augmented Reality Application on Edge Computing Infrastructure
draft-krishna-mops-ar-use-case-00
MOPS R. Krishna
Internet-Draft InterDigital Europe Limited
Intended status: Informational A. Rahman
Expires: January 10, 2021 InterDigital Communications, LLC
July 9, 2020
Media Operations Use Case for an Augmented Reality Application on Edge
Computing Infrastructure
draft-krishna-mops-ar-use-case-00
Abstract
A use case describing transmission of an application on the Internet
that has several unique characteristics of Augmented Reality (AR)
applications is presented for the consideration of the Media
Operations (MOPS) Working Group. One key requirement identified is
that the Adaptive-Bit-Rate (ABR) algorithms' current usage of
policies based on heuristics and models is inadequate for AR
applications running on the Edge Computing infrastructure.
Status of This Memo
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Table of Contents
1. Introduction . . . . . . . . . . . . . . . . . . . . . . . . 2
2. Conventions used in this document . . . . . . . . . . . . . . 3
3. Use Case . . . . . . . . . . . . . . . . . . . . . . . . . . 3
4. Requirements . . . . . . . . . . . . . . . . . . . . . . . . 3
5. Informative References . . . . . . . . . . . . . . . . . . . 4
Authors' Addresses . . . . . . . . . . . . . . . . . . . . . . . 5
1. Introduction
The MOPS draft, [I-D.ietf-mops-streaming-opcons], provides an
overview of operational networking issues that pertain to Quality of
Experience (QoE) in delivery of video and other high-bitrate media
over the Internet. However, it does not cover the increasingly large
number of applications with Augmented Reality (AR) characteristics
and their requirements on ABR algorithms.
Future AR applications will bring several requirements for the
Internet and the mobile devices running these applications. AR
applications require a real-time processing of video streams to
recognize specific objects. This is then used to overlay information
on the video being displayed to the user. In addition some AR
applications will also require generation of new video frames to be
played to the user. In order to run future applications with AR
characteristics on mobile devices, computationally intensive tasks
need to be offloaded to resources provided by Edge Computing.
Edge Computing is an emerging paradigm where computing resources and
storage are made available in close network proximity at the edge of
the Internet to mobile devices and sensors [EDGE_1], [EDGE_2].
Adaptive-Bit-Rate (ABR) algorithms currently base their policy for
bit-rate selection on heuristics or models of the deployment
environment that do not account for the environment's dynamic nature
in use cases such as the one we present in this document.
Consequently, the ABR algorithms perform sub-optimally in such
deployments [ABR_1].
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2. Conventions used in this document
The key words "MUST", "MUST NOT", "REQUIRED", "SHALL", "SHALL NOT",
"SHOULD", "SHOULD NOT", "RECOMMENDED", "MAY", and "OPTIONAL" in this
document are to be interpreted as described in [RFC2119].
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