Transmitting Datacubes over Congested Networks

  • Authors:
  • A. Albanese;M. Cannataro;P. Rullo;D. Saccá

  • Affiliations:
  • -;-;-;-

  • Venue:
  • ITCC '00 Proceedings of the The International Conference on Information Technology: Coding and Computing (ITCC'00)
  • Year:
  • 2000

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Abstract

The On-Line Analytical Processing is an emerging technique for the implementation of decision support applications that access remote datacubes over information highways. In this paper, we propose a novel approach for sending datacubes over congested networks, so that, in order to preserve fast response time, some datacube tuple can be eventually lost but 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 delivery them. To reconstruct the datacube with a user-defined error level, priorities are assigned using a thresholding technique. Preliminary experimental results are very encouraging.