Media Operations Use Case for an Augmented Reality Application on Edge Computing Infrastructure
draft-krishna-mops-ar-use-case-02
MOPS R. Krishna
Internet-Draft InterDigital Europe Limited
Intended status: Informational A. Rahman
Expires: August 21, 2021 InterDigital Communications, LLC
February 17, 2021
Media Operations Use Case for an Augmented Reality Application on Edge
Computing Infrastructure
draft-krishna-mops-ar-use-case-02
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.
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Internet-Draft MOPS AR Use Case February 2021
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Table of Contents
1. Introduction . . . . . . . . . . . . . . . . . . . . . . . . 2
2. Conventions used in this document . . . . . . . . . . . . . . 3
3. Use Case . . . . . . . . . . . . . . . . . . . . . . . . . . 3
3.1. Processing of Scenes . . . . . . . . . . . . . . . . . . 3
3.2. Generation of Images . . . . . . . . . . . . . . . . . . 4
4. Requirements . . . . . . . . . . . . . . . . . . . . . . . . 4
5. Informative References . . . . . . . . . . . . . . . . . . . 5
Authors' Addresses . . . . . . . . . . . . . . . . . . . . . . . 8
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, as it does not cover the increasingly
large number of applications with Augmented Reality (AR)
characteristics and their requirements on ABR algorithms, the
discussion in this draft compliments the overview presented in that
draft [I-D.ietf-mops-streaming-opcons].
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. Both the real-time processing of video streams
and the generation of overlay information are computationally
intensive tasks that generate heat [DEV_HEAT_1], [DEV_HEAT_2] and
drain battery power [BATT_DRAIN] on the AR mobile device.
Consequently, 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
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