Media Operations Use Case for an Augmented Reality Application on Edge Computing Infrastructure
draft-krishna-mops-ar-use-case-00

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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.

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   to this document.  Code Components extracted from this document must
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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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