This is a short version of my keynote presentation at the IoT event (http://iotevent.eu/) on the prospects of Future Internet research. What's the energy footprint of the Web? Is the current Web growth sustainable? How could we re-design the internet to become more energy efficient? I advocate a more closer collaboration between energy experts and communication engineers to come up with an "Internet of Energy", where information flows alongside energy and the one resonates with the other.

1. The Power of Communications
Prof. Antonio Liotta
Eindhoven University of Technology
http://bit.ly/autonomic_networks
Twitter: a_liotta

2. The shape of the Web to come
Prof. A.Liotta Slide 1

3. A feel of the current Web footprint
Prof. A.Liotta Slide 2

4. How dirty is your data?
Prof. A.Liotta Slide 3

5. Web energy demand forecast (2020)
Prof. A.Liotta Slide 4

6. Energy requirements at the edge (2020)
Each ~100 mWatt transmission power Each 1 Gigawatt supply
Prof. A.Liotta Slide 5

7. To turn data into usable knowledge we must
find efficient ways to move it around
Prof. A.Liotta Slide 6

8. Today: a complex system operated
simplistically (overprovisioning)
Over-dimensioned Over-dimensioned No idea whether
servers data flows user is satisfied
Over-provisioned Over-specified
networks terminals
Prof. A.Liotta Slide 7

9. Future Internet meets the definition of
“complexity” set by “complexity theory”
• Properties of whole can’t be
inferred from properties of
individual parts
• Individual components
interact nonlinearly, leading
to emergent behavior
• Constantly evolves and
unfolds over time
Prof. A.Liotta Slide 8

10. Natural networks work thanks to adaptivity and
learning
Eminent examples:
• Human brain
• Immune system
• Ecosystems
• Insect colonies
• Most social structures
• …
Brain synapses
(Source: www.chiefscientist.gov.au)
Prof. A.Liotta Slide 9

11. We know how to build learning robots.
But networks can learn too
Original
Clips
50 50
100 100
150 150
200
Difference in 250
200
250
Temporal 300 300
350
350
Motion 400 400
450
450
500
500
550
550
100 200 300 400 500 600 700
100 200 300 400 500 600 700
Initially we train the Reinforcement Learning
network to handle teaches how to handle
“News over Laptop” “Sport over Phone”
Prof. A.Liotta Slide 10

12. Cognitive networks will make sense of diverse
perturbations
„Sport over mobile phone‟
QoS probe
actuators
Optimizing QoE Machine QoE measure
QoS prediction Learning or inference
Prof. A.Liotta Slide 11

13. DEMANES: The first ARTEMIS IoT project
(Design, Monitoring and Operation of Adaptive
Networked Embedded Systems)
Prof. A.Liotta Slide 12
www.demanes.eu

14. Adaptivity & learning to tackle the diversity of IoT
Requirements
Models and languages
for adaptive systems
Adaptive system Verification
Self-optimization
composition and testing
Prof. A.Liotta Slide 13
www.demanes.eu

15. DEMANES Pilots
(focus on autonomic modeling and operation)
Smart Safe and Smart Airport Cooperating
Secure urban Management Sensors at
transport and Home
environment
Prof. A.Liotta Slide 14
www.demanes.eu

16. Internet of Energy:
energy flows alongside the information flow
Prof. A.Liotta Slide 15

17. Thank you !
More about my work http://bit.ly/autonomic_networks
In the press http://bit.ly/press_articles
“All of YouTube through a 40-year-old funnel”
bit.ly/Volkskrant-EN bit.ly/booklet-antonio bit.ly/pervasive-networks
Prof. A.Liotta Slide 16