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- W1796776284 abstract "Online analytical processing is an emerging technique for the implementation of decision support applications that access remote datacubes over information highways. We propose a novel approach for sending datacubes over congested networks, so that, in order to preserve fast response time, some datacube tuples can be eventually lost but yet preserving a good approximation of the overall datacube. The main idea is to prioritize the datacube information and to send it using a priority-based transmission protocol. The proposed method relies on two well-known techniques: the wavelet decomposition, for the encoding of the datacube into a sequence of prioritized coefficients, and the priority encoding transmission protocol, to deliver them. To reconstruct the datacube with a user-defined error level, priorities are assigned using a thresholding technique. Preliminary experimental results are very encouraging." @default.
- W1796776284 created "2016-06-24" @default.
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- W1796776284 date "2002-11-07" @default.
- W1796776284 modified "2023-10-18" @default.
- W1796776284 title "Transmitting datacubes over congested networks" @default.
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- W1796776284 doi "https://doi.org/10.1109/itcc.2000.844206" @default.
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