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1. Process

1. Process. Gather Input Today Form Coherent Consensus Next two months. 2. CENs are Personal . Why are there so many electricity outages? Why did it take Amazon 4 days to recover from Amazon cloud failure? Why can’t I find out what’s wrong with my WiFi connection? .

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1. Process

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  1. 1. Process • Gather Input • Today • Form Coherent Consensus • Next two months

  2. 2. CENs are Personal • Why are there so many electricity outages? • Why did it take Amazon 4 days to recover from Amazon cloud failure? • Why can’t I find out what’s wrong with my WiFi connection?

  3. 3. Mid Point Summary ALERT

  4. A for Abstraction / Architecture • Functionality allocation: How to understand modularization in networks? • How to explain, predict, falsify? • What’s a logical unit on the network? • Graph clustering and dynamics aggregation • Sufficient statistics for graphs • Throughput < Delay < Security < Manageability • What non-performance metrics to use as objective functions? • Configuration complexity • Fairness metrics • Language and top down design of architecture decision • Scalable experiments and experiments at scale • State and awareness inside and outside of the network • Manage the crowd in unlicensed band • Approximate networks

  5. L for Limits • Characterize boundary of unknown behavior • Queueing, graph, information theory often ask intractable questions. What questions should be asked? • Non-convex optimization and local optima • Distributed optimization over combinatorial structures with stochastic dynamics across multiple coupled timescales • Long tail, non asymptotic results • Integration: communication + computation + control

  6. E for Evolvability • Evolvability and scalability • Theory for self correcting and under-specified networks • Het-Net of platforms, applications, user behaviors • Functional: Modularity, payoff/price of interface • Spatial: Centralized or distributed? Right level of hierarchy? • Economic incentive mechanisms • Pricing as a way to run feedback

  7. R for Robustness • Diagnosability and rebootability • Science of network management • Simulations we can believe in? Experiment design • Error bars • Optimal but fragile solutions • Sensitivity to configuration parameters • How to characterize black swan events? • Is there enough diversity for robustness? • How to quantify security and privacy metrics? • Low gain networks • Black swan events • Platform for unknown applications • Safety Security Privacy first

  8. T for Time • Delay/deadline as objective functions • How to enable interactive applications? Space doesn’t matter, time is tight. Delay much less understood than throughput. • Transient behavior: from convergence to equilibrium to invariant states during transient • How to carry out real time large-scale measurement, learning, visualization? • Real time application is hard, real time management even harder • Evolving graphs • How to accelerate network evolution?

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