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Exploring User-Driven Resources in Politics, Philosophy, and Economics

Delve into the realm of user-contributed resources with a focus on politics, philosophy, and economics. Uncover the dynamics of disruptive vs. scaleable technologies and the concept of providerless networks. Explore the potential of rare content delivery and the interplay between market dynamics and technology advancements. Discover the impact of diverse network models on capacity and the implications for future innovations.

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Exploring User-Driven Resources in Politics, Philosophy, and Economics

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  1. A Long Tale of User Contributed Resources Politics, Philosophy and Economics of some of my research http://www.cl.cam.ac.uk/~jac22

  2. Rant… • Revolution v. evolution • Deployable v. scaleable • Business case v. disruptive • Hey, we’re on the Mountain of Truth • But to get there we have to wade through the Valley of Lies….

  3. Net Value • At any layer, we can maximise the value of the net by removing the provider (disruptive:) • This applies all the way from content down to links and switches. • The mere existence of providers with infrastructure tends to non-neutral and monopolistic practice (scaleable) • I don’t trust governments, either (deployable)

  4. 1 Dis- and Dat- Intermediation • Networks connect stuff. Crucially, rare stuff is cheaper (close to free) to get at • When we used cart and donkeys, it was too expensive to get rare stuff • Now we can not only deliver rare stuff to obscure people/places, we might discover it is interesting, and can be made commonplace • Thisis the dynamic version of the “long tail” argument - the area under the curve is not fixed for all time.

  5. That long tail • Zipf or long tail….what’s wrong with ths picture?

  6. Large deviations… • Real:-

  7. The zipf+bulk discount… • Is self re-enforcing - but if you allow rare things that have sparse interest to get out there, they may become the next big thing • A question of save on marketing cost • Put that cost into spare capacity and use the spare capacity for random choice from far down the current tail.

  8. 2. Providerless next to godliness • Now we have got rid of market researchers can we get rid of providers? • Multihop wireless nets appear to be fundamentally limited by capacity of ach receiver (Gupta-Kumar) • This is not the case if there is any delay tolerance (Grossglauser Tse) - many cooperative relay systems are being analysed that may be practical

  9. Mesh wifi • Normally, just wifi AP version of cellular

  10. Random Heterogeneity to the rescue • The popularity model is static- reality is that there are lots of differences and they change with time and location (c.f. buzztraq) • The mesh model capacity assumes static - reality is nodes move and paths vary and can do coop relay of mixed signal (c.f. Tse, Grossglauser, Leung)

  11. Diversity • Receive from prev hop when close, send to next hop when close to that - mobility increase capacity - Grossglauser • Coop relay - receiver can forward combined signal but separate signal sent direct - generalised by Tse

  12. Combat interference.. • Node 4 sends combined signal

  13. So a technical agenda… • …can have a hidden political agenda too • Can you think of any other examples? • (e.g. cache replacement policies)

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