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The Regiment Macroprogramming SystemI read this recently and found it very interesting. Paper here. Abstract:
Also, earlier work covered here. What I really like this paper is the way they combine continuous-time FRP signals with spatial regions of nodes. A signal S has a time component, and can be mapped (smap) or combined as a signal, but also has a spatial component and so can support filtering (rfilter) and folding (rfold). rfilter is useful for reducing communication of unimportant changes to save power, while rfold allows for result aggregation at intermediate points in the sensor network. They provide special operators for defining regions based on node topology, so you can program your whole sensor network as simply one FRP program (aka macro programming). The alternative would be to program each node individually and let global behavior merge from how node's interact. This approach is also appealing. Diffusion is mentioned as one possible micro programming model, and so maybe the Anti-objects approach would contrast with the macro-programming approach for time-dependent spatial programming. By Sean McDirmid at 2010-01-16 01:05 | LtU Forum | previous forum topic | next forum topic | other blogs | 4733 reads
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