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.

1. From data centers to fog computing
The evaporating cloud
Daniele Miorandi
CEO
U-Hopper
daniele.miorandi@u-hopper.com

2. Will IoT+AI
kill the cloud?

3. IoT&AI are here
to stay
Will change the
nature of the
Internet as we
know it

4. Explosion of data
Explosion of computing
Explosion of energy consumption

5. Today: do everything
in the cloud
IoT data to the cloud
AI (incl. training) in the
cloud

6. Is the cloud a
dead end?

8. Fog Computing
bring computing to the data

9. Cloud computing Fog computing

10. Benefits of fog
Scalability (less data through the Internet)
Latency (AI closer to data sources)
Data security (local scope)
Cost

11. How to ‘green’ the fog?

12. We ‘know’ how to green the cloud

13. Aren’t greening cloud solutions good for fog?

14. Fog is fundamentally different from cloud
Will require different solutions

15. A distributed system
Small amounts of energy consumed in a plurality of locations

16. Technology
The approach and
frameworks we use for
data processing and AI
in the cloud is not
good for fog

17. Money
smaller devices, smaller energy cost, smaller savings

18. Value Chain
The one paying for the
energy may not be the
one who runs the
infrastructure or service

19. 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

20. © All rights reserved, U-Hopper 2018
Big data analytics solutions
Daniele Miorandi
daniele.miorandi@u-hopper.com
+393475865883
www.u-hopper.com

21. 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.