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

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Rond de eeuwwisseling ontstonden de eerste clouddiensten; internetdiensten zoals Hotmail die ons via browsers toegang gaven tot centrale processing en dataomgevingen. Een soort mainframe van het internet, maar dan in de vorm van een service waar hardware en software niet meer belangrijk waren.

Tegenwoordig is de cloud een begrip en worden veel van onze informatiediensten bij centrale cloud providers afgehandeld. Echter met de komst van het Internet of Things, wordt het cloud operations model ook interessant voor decentrale en lokale informatiediensten. Kleine cloudomgevingen waar snel data moet worden verwerkt, waar directe actie nodig is, of waar data gewoonweg niet mag worden verplaatst.

We noemen dat fog computing, met een knipoog naar die hoge, verre clouds aan de hemel. De cloud als mist dicht om ons heen die soms zelfs een nevel kan zijn van allerhande kleine informatiediensten. In deze presentatie wordt dieper ingegaan op de ontwikkelingen op dit gebied en de relevantie ervan op maatschappij en de (huidige) IT-organisatie.

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

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  2. 2. 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. 3. 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. 4. 4 © Copyright 2017 Dell Inc.4 Enkele woorden over Dell EMC
  5. 5. 5 Strategically Aligned Businesses Dell Technologies Dell Inc. Client Solutions Group Global 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
  6. 6. De cloud daalt op aarde neer © Copyright 2017 Dell Inc.
  7. 7. 7 The future is already here – it’s just not very evenly distributed. — William Gibson science fiction writer
  8. 8. 8
  9. 9. 9
  10. 10. 10 A thorough or dramatic change in form or appearance Transformation
  11. 11. 11 FEEDING 9 BILLION PEOPLE BY 2050
  12. 12. 12 THE PRECISION FARMING REVOLUTION
  13. 13. 13 THE NEW OPPORTUNITY… Product DATA About The Product INTENT CONTEXT REAL-TIME
  14. 14. 14 MULTI-SOURCE DATA NEEDS DELIVERING 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. 15. 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.
  16. 16. 16 16 Effects of data size in the digital universe The essence of Data Gravity © Copyright 2017 Dell Inc. Data and applications are attracted to each other . . .
  17. 17. 17 17 Data gravity with equal data mass Data Application Data and applications are attracted to each other . . . Data is nothing without an application An application is nothing without data © Copyright 2017 Dell Inc.
  18. 18. 18 18 But when data masses differ . . . (1) Data Typical 2nd platform behaviour Large Applications billion lines of code Small data sets Data Data Data Data Data Data Data Application Application Centric Architectures STRUCTURED Non movable application Application is critical about how the data to be presented . .
  19. 19. 19 But when data masses differ . . . (2) Application App App App App App App App Data Typical 3rd platform behaviour Big Datalakes billion bytes Small applications micro services Data Centric Architectures Non movable data © Copyright 2017 Dell Inc.
  20. 20. 20 But when data and app shrink. . . (3) ApplicationData Typical 4th platform behaviour Fast streaming data Intelligent micro services movable data © Copyright 2017 Dell Inc. movable services The Internet of Things Application Application
  21. 21. 21 Dawn of a new era © Copyright 2017 Dell Inc.21
  22. 22. 22 © Copyright 2017 Dell Inc.22 The cycle of the cloud Central 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
  23. 23. © Copyright 2017 Dell Inc.23 The Internet of Things Edge intelligence Fog Computing Mist Computing The Intelligence of Things
  24. 24. 24 24 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 Nest Sources: MIT, Gartner, PostScapes 2000 2010 Turing,Tesla,Morse 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. 25. 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. 26. 26 © Copyright 2017 Dell Inc.26 We experience physical and digital separately Close the loop
  27. 27. 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. 28. 28 © Copyright 2017 Dell Inc.28 Converged experiences enable faster decisions
  29. 29. 29 © Copyright 2017 Dell Inc.29 How to integrate the physical and digital experience
  30. 30. 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
  31. 31. The perfect data i-mobility storm IoT effect Migration to the edge Regulatory compliance Bandwidth contraints Legacy data
  32. 32. 32 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
  33. 33. 33 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. 34. 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. 35. 35 © Copyright 2017 Dell Inc.35 Computing nodes become virtual nodes in a virtual computing cluster at scale Connecting clusters at the analytics layer WWH World Wide Herd YARN Hadoop framework Virtual Computing Cluster
  36. 36. 36 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. 37. 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
  38. 38. 38 Let the transformation begin . . .
  39. 39. 39 Twitter: @hansdellemc blog: www.datacentered.nl© Copyright 2017 Dell Inc.

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