Overview of Edge Data Discovery
draft-mcbride-edge-data-discovery-overview-00

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T2TRG                                                         M. McBride
Internet-Draft                                               D. Kutscher
Intended status: Standards Track                                  Huawei
Expires: April 25, 2019                                      E. Schooler
                                                                   Intel
                                                           CJ. Bernardos
                                                                    UC3M
                                                        October 22, 2018

                    Overview of Edge Data Discovery
             draft-mcbride-edge-data-discovery-overview-00

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 along the way, 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 and 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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   provisions of BCP 78 and BCP 79.

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McBride, et al.          Expires April 25, 2019                 [Page 1]
Internet-Draft             Edge Data Discovery              October 2018

   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 April 25, 2019.

Copyright Notice

   Copyright (c) 2018 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
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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.  Requirements Language . . . . . . . . . . . . . . . . . .   4
     1.2.  Terminology . . . . . . . . . . . . . . . . . . . . . . .   4
   2.  The Edge Data Discovery Scope . . . . . . . . . . . . . . . .   4
     2.1.  Types of Discovery  . . . . . . . . . . . . . . . . . . .   5
   3.  Protocols for Discovering Resources . . . . . . . . . . . . .   6
   4.  Protocols for Discovering Functions . . . . . . . . . . . . .   7
   5.  Naming the Data . . . . . . . . . . . . . . . . . . . . . . .   8
   6.  Edge Data Discovery . . . . . . . . . . . . . . . . . . . . .   8
   7.  Use Cases of edge data discovery  . . . . . . . . . . . . . .   8
   8.  IANA Considerations . . . . . . . . . . . . . . . . . . . . .   9
   9.  Security Considerations . . . . . . . . . . . . . . . . . . .   9
   10. Acknowledgement . . . . . . . . . . . . . . . . . . . . . . .   9
   11. Normative References  . . . . . . . . . . . . . . . . . . . .   9
   Authors' Addresses  . . . . . . . . . . . . . . . . . . . . . . .   9

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 at the edges of the
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