Edge Data Discovery for COIN
draft-mcbride-edge-data-discovery-overview-04

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COINRG                                                        M. McBride
Internet-Draft                                                 Futurewei
Intended status: Standards Track                             D. Kutscher
Expires: January 14, 2021                               Emden University
                                                             E. Schooler
                                                                   Intel
                                                           CJ. Bernardos
                                                                    UC3M
                                                                D. Lopez
                                                              Telefonica
                                                           July 13, 2020

                      Edge Data Discovery for COIN
             draft-mcbride-edge-data-discovery-overview-04

Abstract

   This document describes the problem of distributed data discovery in
   edge computing, and in particular for computing-in-the-network
   (COIN), which may require both the marshalling of data at the outset
   of a computation and the persistence of the resultant data after the
   computation.  Although the data might originate at the network edge,
   as more and more distributed data is created, processed, and stored,
   it becomes increasingly dispersed throughout the network.  There
   needs to be a standard way to find it.  New and existing protocols
   will need to be developed to support distributed data discovery at
   the network edge and beyond.

Status of This Memo

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   This Internet-Draft will expire on January 14, 2021.

McBride, et al.         Expires January 14, 2021                [Page 1]
Internet-Draft             Edge Data Discovery                 July 2020

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Table of Contents

   1.  Introduction  . . . . . . . . . . . . . . . . . . . . . . . .   2
     1.1.  Edge Data . . . . . . . . . . . . . . . . . . . . . . . .   3
     1.2.  Background  . . . . . . . . . . . . . . . . . . . . . . .   3
     1.3.  Requirements Language . . . . . . . . . . . . . . . . . .   4
     1.4.  Terminology . . . . . . . . . . . . . . . . . . . . . . .   4
   2.  Edge Data Discovery Problem Scope . . . . . . . . . . . . . .   5
     2.1.  A Cloud-Edge Continuum  . . . . . . . . . . . . . . . . .   5
     2.2.  Types of Edge Data  . . . . . . . . . . . . . . . . . . .   6
   3.  Edge Scenarios Requiring Data Discovery . . . . . . . . . . .   7
   4.  Edge Data Discovery . . . . . . . . . . . . . . . . . . . . .   7
     4.1.  Types of Discovery  . . . . . . . . . . . . . . . . . . .   7
     4.2.  Naming the Data . . . . . . . . . . . . . . . . . . . . .   8
   5.  Use Cases of Edge Data Discovery  . . . . . . . . . . . . . .   9
     5.1.  Autonomous Vehicles . . . . . . . . . . . . . . . . . . .   9
     5.2.  Video Surveillance  . . . . . . . . . . . . . . . . . . .  10
     5.3.  Elevator Networks . . . . . . . . . . . . . . . . . . . .  10
     5.4.  Service Function Chaining . . . . . . . . . . . . . . . .  10
     5.5.  Ubiquitous Witness  . . . . . . . . . . . . . . . . . . .  12
   6.  IANA Considerations . . . . . . . . . . . . . . . . . . . . .  13
   7.  Security Considerations . . . . . . . . . . . . . . . . . . .  13
   8.  Acknowledgement . . . . . . . . . . . . . . . . . . . . . . .  13
   9.  Normative References  . . . . . . . . . . . . . . . . . . . .  13
   Authors' Addresses  . . . . . . . . . . . . . . . . . . . . . . .  14

1.  Introduction

   Edge computing is an architectural shift that migrates Cloud
   functionality (compute, storage, networking, control, data
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