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

Document Type Active Internet-Draft (mops WG)
Authors Renan Krishna  , Akbar Rahman 
Last updated 2021-03-25
Replaces draft-krishna-mops-ar-use-case
Stream Internet Engineering Task Force (IETF)
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MOPS                                                          R. Krishna
Internet-Draft                               InterDigital Europe Limited
Intended status: Informational                                 A. Rahman
Expires: September 26, 2021             InterDigital Communications, LLC
                                                          March 25, 2021

 Media Operations Use Case for an Augmented Reality Application on Edge
                        Computing Infrastructure
                     draft-ietf-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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   This Internet-Draft will expire on September 26, 2021.

Copyright Notice

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   This document is subject to BCP 78 and the IETF Trust's Legal
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Krishna & Rahman       Expires September 26, 2021               [Page 1]
Internet-Draft              MOPS AR Use Case                  March 2021

   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
     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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