SEE the Cloud: Hans Timmerman - De cloud daalt neer op aarde

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Transcript of SEE the Cloud: Hans Timmerman - De cloud daalt neer op aarde

Page 1: SEE the Cloud: Hans Timmerman - De cloud daalt neer op aarde

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De cloud daalt op aarde neer

“Cloudlets”: de opkomst

van fog & mist computing . . .

© Copyright 2017 Dell Inc.

Hans Timmerman

CTO Dell EMC The Netherlands

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Hans Timmerman

CTO Dell EMC Nederland

Bestuurslid Stichting

Toekomstbeeld der Techniek STT

• TU Delft 1978• Vermogenselektronica

• Holec 1978• Systemen & Machines

• STT 1981• De fabriek van de toekomst

• Kennis en innovatie

• Fokker Aircraft 1985• Hoofd Productie Ontwikkeling

• Hoofd CAD/CAM center

• Ericsson 1994• Technisch Directeur NIRA groep

• FAIR Information Services 1997• Managing director (ex-Fokker IT-groep)

• Parametric Technology PTC 1999• Director Global Services North Europe

• EMC Nederland 2002• Country Technology Manager / CTO

• Dell EMC Nederland 2016• CTO

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4© Copyright 2017 Dell Inc.4

Enkele woorden over Dell EMC

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Strategically Aligned

Businesses

Dell Technologies

Dell Inc.

Client Solutions

GroupGlobal ServicesInfrastructure

Solutions Group

Dell Technologies - World’s largest privately controlled Tech Company

74 B$ revenue – 140.000 team members - 20.000+ patents - $4.5 billion on R&D/year

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De cloud daalt op aarde neer

© Copyright 2017 Dell Inc.

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The future is already here – it’s

just not very evenly distributed.

— William Gibsonscience fiction writer

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A thorough or dramatic change in form or appearance

Transformation

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FEEDING 9 BILLION PEOPLEBY 2050

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THE PRECISION FARMING REVOLUTION

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THE NEW OPPORTUNITY…

Product DATA About

The Product

INTENT

CONTEXT

REAL-TIME

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MULTI-SOURCE DATA NEEDSDELIVERING ACTIONABLE INSIGHT IN REAL-TIME

WEATHER FORECASTING

SOIL ANALYSIS MACHINE DATA

$100 MORE PROFIT/ACRE$43K INCREASE IN ANNUAL PROFIT

20% GREATER YIELD

REAL TIME OPERATIONS

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Building data driven organisations

Data is zowel de olie, het goud als betaalmiddel voor een organisatie:

• olie als smeermiddel omdat data overal moet kunnen stromen,

• goud wanneer die data waarde en bescherming nodig heeft,

• betaalmiddel als er met data transacties moeten worden gedaan.

Die tegenstrijdige waarderingen moeten gelijktijdig in een

data-architectuur worden geborgd.

Net zoals die data zodanig moet zijn gemanaged, dat alle disciplines

daarmee kunnen werken en er gebruik van kunnen maken.

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Effects of data sizein the digital universe

The essence of Data Gravity

© Copyright 2017 Dell Inc.

Data and applications are attracted to each other . . .

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Data gravity with equal data mass

Data Application

Data and applications are attracted to each other . . .

Data is nothing without an applicationAn application is nothing without data

© Copyright 2017 Dell Inc.

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But when data masses differ . . . (1)

Data

Typical 2nd platform behaviour

Large Applicationsbillion lines of code

Small data sets

Data

Data

Data

Data

Data

Data

Data

ApplicationApplication Centric

Architectures

STRUCTURED

Non movable

application

Application is critical about how

the data to be presented . .

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But when data masses differ . . . (2)

Application

AppApp

App

App

App

App

App

Data

Typical 3rd platform behaviour

Big Datalakesbillion bytes

Small applications

micro services

Data Centric

Architectures

Non movable data

© Copyright 2017 Dell Inc.

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But when data and app shrink. . . (3)

ApplicationData

Typical 4th platform behaviour

Fast streaming

dataIntelligent

micro services

movable data

© Copyright 2017 Dell Inc.

movable services

The Internet of Things

Application

Application

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Dawn of a new era

© Copyright 2017 Dell Inc.21

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The cycle of the cloudCentral

Local

Mainframe

Closed

Source

Client Server

Cloud

Edge Intelligence

Open

Source

Deep

learning

Machine

learning

Fast Data

Big Data

Product(HW + SW)

Service

Terminal

use

Smart

device

Big

Applications

Terminal/

Browser

use

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© Copyright 2017 Dell Inc.23

The Internet of Things

Edge intelligence

Fog Computing Mist Computing

The Intelligence of Things

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IOT: HISTORY & DEVELOPMENT

1969

1966

In just a few decades, computers

will be embedded into almost

every industrial product.

Karl Steinbuch

(Cybernetic Engineer)

Arpanet

1984

DNS

1991

WWW

online

1993

Coffee pot in the

University of Cambridge

computer lab

1998

Google

1999

Kevin Ashton from MIT

uses the term "Internet of

Things" for the first time

LG announces

first online

refrigerator

2008

IoT Conference

Zurich

2011

IPv6

2005

Arduino

Open source

platform for

microcontroller

s

Nest

Sources: MIT, Gartner, PostScapes

2000 2010

Tu

rin

g, Te

sla

, M

ors

e

2014

Industrial

Internet

Consortium

2017

8.4 Billion Connected “Things”

in use worldwide

(world population: 7.5 Billion)

Gartner

EdgeX Foundry:vendor-neutral open source project

hosted by the Linux Foundation.Building a common open framework

for Industrial IoT edge computing.

The Industrial Internet Consortium publishes the First industrial internet

connectivity framework

2017 is a tipping point

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Convergence of the Physical and the Digital World

Physical World

Digital World

Two opposite forces that

complement each other

Real time

• Monitor

• Control

• Optimize

• Automate

Real

Dynamics

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We experience physical and digital separately

Closethe

loop

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Convergence of the Physical and the Digital World

Physical World

Digital World

Two opposite forces that

complement each other

Real time

• Monitor

• Control

• Optimize

• Automate

Real

Dynamics

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Converged experiences enable faster decisions

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How to integrate the physical and digital experience

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Meaningful data sets are federated over many data zones

Cloud

SDDC

SDN

Application

Array

User space

Edge

In a multi-cloud world

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The perfect datai-mobility storm

IoT effect

Migration

to the edge

Regulatory

compliance

Bandwidth

contraints

Legacy

data

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Technologies enabling distributed architectures

Machine Learning at the Edge

Deep Learning in the Cloud

Fast Data

Big Data

© Copyright 2017 Dell Inc.

Smart Data

Because the Future is Federated

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Technologies enabling distributed architectures

© Copyright 2017 Dell Inc.

DEEP LEARNING

Cloud

MACHINE LEARNING

Core

EDGE ANALYTICS

Edge

Push

Insights

from the

Edge

Pull

Insights

from the

Cloud

Cloud ComputingFog ComputingMist Computing

NIST definition*) publicatie 800 – 191

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Where some common denominators exist

Meaningful data sets cross data zones

Cloud

SDDC

SDN

Application

Array

User space

Edge

In a multi-cloud world

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Computing nodes become virtual nodes in a virtual computing cluster at scaleConnecting clusters at the analytics layer

WWHWorld

Wide

Herd

YARN

Hadoop

framework

Virtual Computing Cluster

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Select relevant

Datasources

(Sensor)

source

node

Datazone

(locked)Edge gateway

functionality

Open source

Edge software

IoT Fog

Metadata

datasources

repository

Data

source

Datasource

Datasource

Datasource Datasource

Datasource

Datasource

Analytic needs

Push analytic

microservices

result

Retrieve distibuted

analytic results

IoT

node

Provides

small amount

of intelligence

or analytics

at the edge to

provide early

(edge) detection

capability

Challenge of Edge Gateways is to address key

Interoperability where “south meets north”

in a distributed IoT architecture

analytic

engine

Industrial Clouds

Compliance

IoT Fog

Master Data Management

© Copyright 2017 Dell Inc.

Datasource

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Managing Federated Data

• Distributed datazones around the world

• Data at the edge

• Growing i-mobility of data

• Need of distributed AI

• Need of split second reactions

• Need for smarter security and automated error correction

• Better data curation: data cleansing and compartimentation

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Let the transformation begin . . .

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39 Twitter: @hansdellemc blog: www.datacentered.nl© Copyright 2017 Dell Inc.