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A Long Tale of User Contributed Resources

Explore the intersection of politics, philosophy, and economics in a user-contributed resource landscape. Dive into disruptive vs. deployable tech, scalability challenges, and the quest for truth amidst a sea of lies.

amckenzie
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A Long Tale of User Contributed Resources

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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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