Enabling OLAP in mobile environments via intelligent data cube compression techniques |
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Authors: | Alfredo Cuzzocrea Filippo Furfaro Domenico Saccà |
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Affiliation: | (1) ICAR Institute—Italian National Research Council, Via P. Bucci 41C, 87036 Rende, Cosenza, Italy;(2) Department of Electronics, Computer Science and Systems, University of Calabria, Via P. Bucci 41C, 87036 Rende, Cosenza, Italy |
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Abstract: | The main drawbacks of handheld devices (small storage space, small size of the display screen, discontinuance of the connection
to the WLAN etc) are often incompatible with the need of querying and browsing information extracted from enormous amounts
of data which are accessible through the network. In this application scenario, data compression and summarization have a
leading role: data in a lossy compressed format can be transmitted more efficiently than the original ones, and can be effectively
stored in handheld devices (setting the compression ratio accordingly). In this paper, we introduce a very effective compression
technique for multidimensional data cubes, and the system Hand-OLAP, which exploits this technique to allow handheld devices
to extract and browse compressed two-dimensional OLAP views coming from multidimensional data cubes stored on a remote OLAP
server localized on the wired network. Hand-OLAP effectively and efficiently enables OLAP in mobile environments, and also
enlarges the potentialities of Decision Support Systems by taking advantage from the “naturally” decentralized nature of such
environments. The idea which the system is based on is: rather than querying the original multidimensional data cubes, it
may be more convenient to generate a compressed OLAP view of them, store such view into the handheld device, and query it
locally (off-line), thus obtaining approximate answers that are suitable for OLAP applications. |
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