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
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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
3
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
4© Copyright 2017 Dell Inc.4
Enkele woorden over Dell EMC
5
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
De cloud daalt op aarde neer
© Copyright 2017 Dell Inc.
7
The future is already here – it’s
just not very evenly distributed.
— William Gibsonscience fiction writer
8
9
10
A thorough or dramatic change in form or appearance
Transformation
11
FEEDING 9 BILLION PEOPLEBY 2050
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THE PRECISION FARMING REVOLUTION
13
THE NEW OPPORTUNITY…
Product DATA About
The Product
INTENT
CONTEXT
REAL-TIME
14
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
15© Copyright 2017 Dell Inc.15
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.
1616
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
22© Copyright 2017 Dell Inc.22
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
© 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
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
25© Copyright 2017 Dell Inc.25
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
26© Copyright 2017 Dell Inc.26
We experience physical and digital separately
Closethe
loop
27© Copyright 2017 Dell Inc.27
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
28© Copyright 2017 Dell Inc.28
Converged experiences enable faster decisions
29© Copyright 2017 Dell Inc.29
How to integrate the physical and digital experience
30© Copyright 2017 Dell Inc.30
Meaningful data sets are federated over many data zones
Cloud
SDDC
SDN
Application
Array
User space
Edge
In a multi-cloud world
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
34© Copyright 2017 Dell Inc.34
Where some common denominators exist
Meaningful data sets cross data zones
Cloud
SDDC
SDN
Application
Array
User space
Edge
In a multi-cloud world
35© Copyright 2017 Dell Inc.35
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
37© Copyright 2017 Dell Inc.37
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 . . .
39 Twitter: @hansdellemc blog: www.datacentered.nl© Copyright 2017 Dell Inc.