Edge Data Discovery for COIN
draft-mcbride-edge-data-discovery-overview-03

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COINRG                                                        M. McBride
Internet-Draft                                                 Futurewei
Intended status: Standards Track                             D. Kutscher
Expires: August 1, 2020                                 Emden University
                                                             E. Schooler
                                                                   Intel
                                                           CJ. Bernardos
                                                                    UC3M
                                                        January 29, 2020

                      Edge Data Discovery for COIN
             draft-mcbride-edge-data-discovery-overview-03

Abstract

   This document describes the problem of distributed data discovery in
   edge computing, and in particular for computing-in-the-network
   (COIN), 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

   This Internet-Draft is submitted in full conformance with the
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   This Internet-Draft will expire on August 1, 2020.

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Copyright Notice

   Copyright (c) 2020 IETF Trust and the persons identified as the
   document authors.  All rights reserved.

   This document is subject to BCP 78 and the IETF Trust's Legal
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   described in the Simplified BSD License.

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 . . . . . . . . . . . . . .   4
     2.1.  A Cloud-Edge Continuum  . . . . . . . . . . . . . . . . .   5
     2.2.  Types of Edge Data  . . . . . . . . . . . . . . . . . . .   6
       2.2.1.  Example Meta Data . . . . . . . . . . . . . . . . . .   7
   3.  Scenarios for Discovering Edge Data Resources . . . . . . . .   8
   4.  Edge Data Discovery . . . . . . . . . . . . . . . . . . . . .   9
     4.1.  Types of Discovery  . . . . . . . . . . . . . . . . . . .   9
     4.2.  Naming the Data . . . . . . . . . . . . . . . . . . . . .   9
   5.  Use Cases of edge data discovery  . . . . . . . . . . . . . .  10
   6.  IANA Considerations . . . . . . . . . . . . . . . . . . . . .  10
   7.  Security Considerations . . . . . . . . . . . . . . . . . . .  11
   8.  Acknowledgement . . . . . . . . . . . . . . . . . . . . . . .  11
   9.  Normative References  . . . . . . . . . . . . . . . . . . . .  11
   Authors' Addresses  . . . . . . . . . . . . . . . . . . . . . . .  11

1.  Introduction

   Edge computing is an architectural shift that migrates Cloud
   functionality (compute, storage, networking, control, data
   management, etc.) out of the back-end data center to be more
   proximate to the IoT data being generated and analyzed at the edges
   of the network.  Edge computing provides local compute, storage and
   connectivity services, often required for latency- and bandwidth-
   sensitive applications.  Thus, Edge Computing plays a key role in
   verticals such as Energy, Manufacturing, Automotive, Video

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