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Adapting BubbleRap with global hierarchical knowledge

February 24th, 2011 Leave a comment Go to comments

We discussed the results so far, and I suggested there was scope to improve the global ranking used by BubbleRAP, Pádraig hatched upon a clever idea to use hierarchical clustering to drive routing. Pádraig invited Conrad in to tell us about how Hierarchical GCE works. He descbibed how it will give some notion of stable heirararchical denodograms cut-points.


We then discussed the idea of causing the global routing part of BubbleRAP to use this hierarchy, by selecting only the minimum set of  communities that contain the destination node for routing to. In the example above, routing from C to P would mean using the top level community. However, a route between F and A, would mean not passing messages to communities encompassed by N, M, O and P, as they are not in the minumum set. The thinking behind this, is that we can prevent messages being sent to obscure places in the network, and thus reduce overhead, and perhaps increase delivery latency.

One possible criticism, is that this might be hard to justfify in terms of reality, as nodes will not be able to have pre-computed community knowledge. Conrad mentioned that he had been working on some ideas regarding vector clocks, which might be applicable, as I have said before, we could use some data within the vector clocks as metric for routing, and also use it as a means of communicating network structure data, so that each node can calculate the state of the network based on it’s knowledge, and therefore a clever mechanism to label communities could be devised which would allow nodes to route based on this hierarchical knowledge.

Conrad will hook me up with the code to do the clustering, and I will work out how to implement this in the simulator.

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