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From data centers to fog computing: the evaporating cloud


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Keynote by Daniele Miorandi, CEO at U-Hopper Srl (IT), at the Intensive Data Processing and Energy Efficiency Innovative Green Technologies for AI Roundtable, organised by JRC in Brussels (BE). The event brought together representatives of major IT players, policy-makers and regulators, as well as a number of startups and innovative SMEs active in the fog-cloud continuum.

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From data centers to fog computing: the evaporating cloud

  1. 1. From data centers to fog computing The evaporating cloud Daniele Miorandi CEO U-Hopper
  2. 2. Will IoT+AI kill the cloud?
  3. 3. IoT&AI are here to stay Will change the nature of the Internet as we know it
  4. 4. Explosion of data Explosion of computing Explosion of energy consumption
  5. 5. Today: do everything in the cloud IoT data to the cloud AI (incl. training) in the cloud
  6. 6. Is the cloud a dead end?
  7. 7. Fog Computing bring computing to the data
  8. 8. Cloud computing Fog computing
  9. 9. Benefits of fog Scalability (less data through the Internet) Latency (AI closer to data sources) Data security (local scope) Cost
  10. 10. How to ‘green’ the fog?
  11. 11. We ‘know’ how to green the cloud
  12. 12. Aren’t greening cloud solutions good for fog?
  13. 13. Fog is fundamentally different from cloud Will require different solutions
  14. 14. A distributed system Small amounts of energy consumed in a plurality of locations
  15. 15. Technology The approach and frameworks we use for data processing and AI in the cloud is not good for fog
  16. 16. Money smaller devices, smaller energy cost, smaller savings
  17. 17. Value Chain The one paying for the energy may not be the one who runs the infrastructure or service
  18. 18. 1. Fog is emerging, and it will happen 2. Greening the fog is more difficult than greening the cloud 3. It is a techno-economic issue, not a purely technical one 4. Purely financial incentives are not sufficient 5. May require regulatory actions Take Away Messages
  19. 19. © All rights reserved, U-Hopper 2018 Big data analytics solutions Daniele Miorandi +393475865883
  20. 20. This work is part of a project that has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 765452.  The information and views set out in this publication are those of the author(s) and do not necessarily reflect the official opinion of the European Union. Neither the European Union institutions and bodies nor any person acting on their behalf may be held responsible for the use which may be made of the information contained therein.