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Optimization of In-network Data Reduction by Joseph M. Hellerstein; Wei Wang is a scholarly article available to read on EtoBox.

What is Optimization of In-network Data Reduction about?

We consider the in-network computation of approximate "big picture" summaries in bandwidth-constrained sensor networks. First we review early work on computing the Haar wavelet decomposition as a User-Defined Aggregate in a sensor query engine. We argue that this technique can be significantly improved by choosing a function-specific network topology. We generalize this discussion to a loose definition of a 2-level optimization problem that maps from a function to what we call a support graph for the function, and from there to an aggregation tree that is chosen from possible subgraphs of the physical network connectivity. This work is frankly quite preliminary: we raise a number of questions but provide relatively few answers. The intent of the paper is to lay groundwork for discussion and further research.

Author
Joseph M. Hellerstein; Wei Wang
Publisher
ACM Press
Published
2004
Language
EN

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