The Internet has a great future behind it. Jon Crowcroft, http://www.cl.cam.ac.uk/~jac22

Communications Research Strategy Too long trying redo Internet success Both CS&EE programs of research Give up & Admit it was serendipity What alternative Strategies? To retain funding/momentum Engage new people

Evolution versus Revolution Rexford & Dovrolis argued in 10.1145/1810891.1810906 Deployment is not a research goal But problems from internet do inspire But clean slate is also inspiring… Also look at deployment timescales I co-led IPng requirements 22yrs ago We only now see 15% of net runs IPv6

Top down versus Bottom up Top down initiatives rarely work Arpanet is not repeatable, Wasn’t the Internet as we know it anyhow That came out of much smaller groups Really skunkworks/stealth Fire/FIND/Geni etc…..hmmm Doesn’t engage people thinking out of the box Much, because competitive funding mostly… ...goes to same 5 places....

Problem versus Challenge led 1. Change link/net/transport or Solve accountability when needed Change net Solve mobility as needed

Problem versus Challenge led 2. Data Center Networks Latency bounding Routing Scaling Iot Availability security

Problem versus Challenge led 3. Inherent in 5G Capacity – massive mimo, coop relay etc Availability, security Wireless tech, not IP level? Not obvious – e.g. net coding Interdomain/multiprovider But IP failed to deliver scale here For IoT or Data Centers So why do you expect it to save 5G?

Layer Violation&Appropriation Rebuilding IP at three layers is a bad idea Just as ATM (ABR) was a bad mix with TCP CC

Communities of interest/expertise UK suffers from few EECS departments NGN v. Commnet2 split not just cultural Build on existing communities Organise joint event (inject commnet@ngn) Engage or ignore? Parallel play Throw challenges over the fence at each other True Engagement Help me out here – some examples Perhaps scaling interdomain Or wireless security? Priv (traffic anal)&ddos prob. esp.

Funding Programmes Parallel play: throw challenges over the fence at each other Then do joint bids for joint problem, e.g. Coding Crypto Massive multipath More close Engagement Help me out here – some examples: Perhaps scaling inter-domain routing for 5G Or wireless security for 5G IoT++? Accountable Privacy v. traffic analysis Ddos resistance prob. Especially for BCP38

Time for something else? Suggestions from what you find hard Debugging net With Isolation at all levels With ultra fast mobility Sustaining net With 1 billion devices per city 1% broken at any given time

Networked Machine Learning #1 ML is Analytics Ignoring deep learning/NN (for now) Analytics runs on hadoop or spark In a data center – “embarassingly parallel” Main tricks are to cope with node outage Needs low latency (barrier synch phase) What if wide area networked ML?

Networked Machine Learning #2 For example, 1 billion personal clouds Smart home hub holds human data User offers it to service provider E.g. power consumption/device To electricity provider in exchange for money/discount In a privacy preserving way How does EDF run ML on 1 billion small nodes?

Networked Machine Learing #3 Can run on smart city, transport, etc +Can run on network monitoring itself Needs low latency, synch, replicas In presence of multi-path, fails, etc Needs to work multi-domain Where multi=10^9 So what does this look like? No real idea – c.f. http://www.databoxproject.uk/

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