Autonomic setup of fog monitoring agents
draft-bernardos-anima-fog-monitoring-01

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ANIMA WG                                                   CJ. Bernardos
Internet-Draft                                                      UC3M
Intended status: Experimental                                  A. Mourad
Expires: May 22, 2020                                       InterDigital
                                                       November 19, 2019

                Autonomic setup of fog monitoring agents
                draft-bernardos-anima-fog-monitoring-01

Abstract

   The concept of fog computing has emerged driven by the Internet of
   Things (IoT) due to the need of handling the data generated from the
   end-user devices.  The term fog is referred to any networked
   computational resource in the continuum between things and cloud.  In
   fog computing, functions can be stiched together composing a service
   function chain.  These functions might be hosted on resources that
   are inherently heterogeneous, volatile and mobile.  This means that
   resources might appear and disappear, and the connectivity
   characteristics between these resources may also change dynamically.
   This calls for new orchestration solutions able to cope with dynamic
   changes to the resources in runtime or ahead of time (in anticipation
   through prediction) as opposed to today's solutions which are
   inherently reactive and static or semi-static.

   A fog monitoring solution can be used to help predicting events so an
   action can be taken before an event actually takes place.  This
   solution is composed of agents running on the fog nodes plus a
   controller hosted at another device (running in the infrastructure or
   in another fog node).  Since fog environments are inherently volatile
   and extremely dynamic, it is convenient to enable the use of
   autonomic technologies to autonomously set-up the fog monitoring
   platform.  This document aims at presenting this use case as well as
   specifying how to use GRASP as needed in this scenario.

Status of This Memo

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   provisions of BCP 78 and BCP 79.

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Bernardos & Mourad        Expires May 22, 2020                  [Page 1]
Internet-Draft          GRASP for fog monitoring           November 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 May 22, 2020.

Copyright Notice

   Copyright (c) 2019 IETF Trust and the persons identified as the
   document authors.  All rights reserved.

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Table of Contents

   1.  Introduction  . . . . . . . . . . . . . . . . . . . . . . . .   2
     1.1.  Problem statement . . . . . . . . . . . . . . . . . . . .   3
     1.2.  Fog monitoring framework  . . . . . . . . . . . . . . . .   4
   2.  Terminology . . . . . . . . . . . . . . . . . . . . . . . . .   5
   3.  Autonomic setup of fog monitoring framework . . . . . . . . .   6
   4.  IANA Considerations . . . . . . . . . . . . . . . . . . . . .  10
   5.  Security Considerations . . . . . . . . . . . . . . . . . . .  10
   6.  Acknowledgments . . . . . . . . . . . . . . . . . . . . . . .  10
   7.  References  . . . . . . . . . . . . . . . . . . . . . . . . .  10
     7.1.  Normative References  . . . . . . . . . . . . . . . . . .  10
     7.2.  Informative References  . . . . . . . . . . . . . . . . .  10
   Authors' Addresses  . . . . . . . . . . . . . . . . . . . . . . .  11

1.  Introduction

   The concept of fog computing has emerged driven by the Internet of
   Things (IoT) due to the need of handling the data generated from the
   end-user devices.  The term fog is referred to any networked
   computational resource in the continuum between things and cloud.  A
   fog node may therefore be an infrastructure network node such as an
   eNodeB or gNodeB, an edge server, a customer premises equipment
   (CPE), or even a user equipment (UE) terminal node such as a laptop,
   a smartphone, or a computing unit on-board a vehicle, robot or drone.
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