Distributed construction of data cubes from tuple stream
by Teppei Shimada, Takayuki Tsuchida, Tatsuo Tsuji, Ken Higuchi
International Journal of Business Intelligence and Data Mining (IJBIDM), Vol. 6, No. 3, 2011

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.

Online publication date: Wed, 22-Apr-2015

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