Edge Data Discovery for COIN
draft-mcbride-edge-data-discovery-overview-02

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COINRG                                                        M. McBride
Internet-Draft                                                 Futurewei
Intended status: Standards Track                             D. Kutscher
Expires: January 8, 2020                                Emden University
                                                             E. Schooler
                                                                   Intel
                                                           CJ. Bernardos
                                                                    UC3M
                                                           July 07, 2019

                      Edge Data Discovery for COIN
             draft-mcbride-edge-data-discovery-overview-02

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

   This Internet-Draft is submitted in full conformance with the
   provisions of BCP 78 and BCP 79.

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   This Internet-Draft will expire on January 8, 2020.

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Copyright Notice

   Copyright (c) 2019 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
   Provisions Relating to IETF Documents
   (https://trustee.ietf.org/license-info) in effect on the date of
   publication of this document.  Please review these documents
   carefully, as they describe your rights and restrictions with respect
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   include Simplified BSD License text as described in Section 4.e of
   the Trust Legal Provisions and are provided without warranty as
   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
   3.  Scenarios Requiring Discovery of Edge Data Resources  . . . .   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
   6.  IANA Considerations . . . . . . . . . . . . . . . . . . . . .  12
   7.  Security Considerations . . . . . . . . . . . . . . . . . . .  12
   8.  Acknowledgement . . . . . . . . . . . . . . . . . . . . . . .  12
   9.  Normative References  . . . . . . . . . . . . . . . . . . . .  12
   Authors' Addresses  . . . . . . . . . . . . . . . . . . . . . . .  13

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
   Surveillance, Retail, Gaming, Healthcare, Mining, Buildings and Smart
   Cities.

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