Distributed construction of data cubes from tuple stream

  • Authors:
  • Teppei Shimada;Takayuki Tsuchida;Tatsuo Tsuji;Ken Higuchi

  • Affiliations:
  • Department of Electrical and Computer Engineering, Asahikawa National College of Technology, 2-2-1-6, Syunkodai, Asahikawa-city, Hokkaido, 071-8142, Japan.;Graduate School of Engineering, University of Fukui, 3-9-1 Bunkyo, Fukui-city, Fukui, 910-8507, Japan.;Graduate School of Engineering, University of Fukui, 3-9-1 Bunkyo, Fukui-city, Fukui, 910-8507, Japan.;Graduate School of Engineering, University of Fukui, 3-9-1 Bunkyo, Fukui-city, Fukui, 910-8507, Japan

  • Venue:
  • International Journal of Business Intelligence and Data Mining
  • Year:
  • 2011

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Abstract

We propose a distributed construction scheme of MOLAP data cubes in the related sites on a network. Using the implementation scheme of multidimensional datasets based on the history-offset tuple encoding method, the tuple stream can be processed efficiently to construct cuboids in real-time on each site, while MOLAP operations can be processed against one of the data cube versions in background. In this paper, we describe our tuple stream processing scheme and distributed data cube construction, then evaluate the required communication cost.