Overview of Edge Data Discovery
draft-mcbride-edge-data-discovery-overview-01

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T2TRG                                                         M. McBride
Internet-Draft                                                    Huawei
Intended status: Standards Track                             D. Kutscher
Expires: September 11, 2019                             Emden University
                                                             E. Schooler
                                                                   Intel
                                                           CJ. Bernardos
                                                                    UC3M
                                                          March 10, 2019

                    Overview of Edge Data Discovery
             draft-mcbride-edge-data-discovery-overview-01

Abstract

   This document describes the problem of distributed data discovery in
   edge computing.  Increasing numbers of IoT devices and sensors are
   generating a torrent of data that originates at the very edges of the
   network and that flows upstream, if it flows at all.  Sometimes that
   data must be processed or transformed (transcoded, subsampled,
   compressed, analyzed, annotated, combined, aggregated, etc.) on edge
   equipment, particularly in places where multiple high bandwidth
   streams converge and where resources are limited.  Support for edge
   data analysis is critical to make local, low-latency decisions (e.g.,
   regarding predictive maintenance, the dispatch of emergency services,
   identity, authorization, etc.).  In addition, (transformed) data may
   be cached, copied and/or stored at multiple locations in the network
   on route to its final destination.  Although the data might originate
   at the edge, for example in factories, automobiles, video cameras,
   wind farms, etc., 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 identified/developed/enhanced for
   distributed data discovery at the network edge and beyond.

Status of This Memo

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McBride, et al.        Expires September 11, 2019               [Page 1]
Internet-Draft             Edge Data Discovery                March 2019

   time.  It is inappropriate to use Internet-Drafts as reference
   material or to cite them other than as "work in progress."

   This Internet-Draft will expire on September 11, 2019.

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
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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.  The Edge Data Discovery Problem Scope . . . . . . . . . . . .   5
     2.1.  A Cloud-Edge Continuum  . . . . . . . . . . . . . . . . .   5
     2.2.  Types of Edge Data  . . . . . . . . . . . . . . . . . . .   6
   3.  Scenarios for Discovering Edge Data Resources . . . . . . . .   8
   4.  Edge Data Discovery . . . . . . . . . . . . . . . . . . . . .   8
     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 . . . . . . . . . . . . . . . . . . .  10
   8.  Acknowledgement . . . . . . . . . . . . . . . . . . . . . . .  10
   9.  Normative References  . . . . . . . . . . . . . . . . . . . .  11
   Authors' Addresses  . . . . . . . . . . . . . . . . . . . . . . .  11
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