Your SlideShare is downloading. ×
Future Internet: how diverse disciplines will help redesigning our networks
Upcoming SlideShare
Loading in...5

Thanks for flagging this SlideShare!

Oops! An error has occurred.

Saving this for later? Get the SlideShare app to save on your phone or tablet. Read anywhere, anytime – even offline.
Text the download link to your phone
Standard text messaging rates apply

Future Internet: how diverse disciplines will help redesigning our networks


Published on

This talk is based on the following material: …

This talk is based on the following material:

A. Liotta, G. Exarchakos
'A Peek at the Future Internet'
Springer (2011)

A. Liotta
'Cognitive Interconnections'
ISBN 978-90-386-2518-8 (2011)

Published in: Education, Technology
  • Be the first to comment

  • Be the first to like this

No Downloads
Total Views
On Slideshare
From Embeds
Number of Embeds
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

No notes for slide
  • Major concern so far has been to provide network capacity and wireless access
  • Figure 4. Open-loop video delivery
  • Figure 9. Cognitive networks can learn how to differentiate ‘good’ from ‘bad’ signals, recognize viruses, and adjust to extreme perturbations.
  • Transcript

    • 1. Future Internet:How diverse disciplines will helpredesigning our networks Prof. Antonio LiottaEindhoven University of Technology, NL a_liotta
    • 2. What does it take to be a ‘generative’ Internet?• Apps: ~0.5 million, 600 new apps/day• Multicast IPTV: $38m expected revenues for 2013• Internet video: 0.8 Zettabytes (1021bytes) in 2014• Connected ‘things’: 1 trillion in 2020• Network so complex that’s Internet Map coloured by IP addresses hard to draw on a map (Courtesy of W.R. Cheswick)Prof. A. Liotta 2
    • 3. Future Internet: what are we up against?Explosive combination of sheer scale and diversity of things Building ICT autom. Security Energy & Safety Consu- mer & Retail Home Health- Transpor care Indust. tation Autom.(*) Source: Cisco dataforecast, Feb 2011 Prof. A. Liotta 3
    • 4. What are we up against? Insurmountable barriers Each ~100 mWatt transmission power Each 1 Gigawatt supplyProf. A. Liotta 4
    • 5. Sheer complexity (as in “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 timeProf. A. Liotta 5
    • 6. Natural networks work thanks to adaptivity and learning Eminent examples: • Human brain • Immune system • Ecosystems • Insect colonies • Most social structures • … Brain synapses (Source: Prof. A. Liotta 6
    • 7. Today: a complex system operated simplisticallyOver-dimensioned Over-dimensioned No idea whether servers data flows user is satisfied Over-provisioned Over-specified networks terminals 7
    • 8. Good news! A billion dollars available to re-think the Internet “The growth of the Internet is strictly intertwined with socio-economic, environmental and cultural developments” EU FIRE programProf. A. Liotta 8
    • 9. Unique opportunity to integrate knowledge already available outside of the networking community Phycology Law Social science Physics Cybernetics Natural Systems sciences ecology Computer Graph science theoryComputational intelligence learn & evolve FI taming complexity Complexity theory Cognitive Prof. A. Liotta Networks 9
    • 10. Example: learning how to flip pancakes Courtesy of: Petar Kormushev and Sylvain Calinon Italian Institute of Technology (IIT)Prof. A. Liotta 10
    • 11. Networks too can learn how to deal with new perturbations. Example video delivery conditions News clip Sport clipOriginal Clips 50 50 100 100 150 150Difference in 200 200 Temporal 250 250 300 300 Motion 350 350 400 400 450 450 500 500 550 550 100 200 300 400 500 600 700 100 200 300 400 500 600 700 Initially we train the Reinforcement Learning network to handle teaches how to handle Prof. A. Liotta “News over Laptop” “Sport over Phone” 11
    • 12. Networks too can learn how to deal with new perturbations. Example video delivery conditions ‘Sport over mobile phone’ QoS probe actuators Optimizing QoE Machine QoE measure QoS prediction Learning or inferenceProf. A. Liotta 12
    • 13. Can we use computational intelligence to build ‘nature-like’ computer networks? Multi-disciplinarity SOLUTIONS Hidden patterns Emergent behavior Self-regulation Learning 13
    • 14. Thank you ! More about my work In the press“All of YouTube through a 40-year-old funnel” Prof. A. Liotta 14