Comparison of two approaches to processing long aggregates lists in spatial data warehouses
Abstract
In this paper we present a comparison of two approaches for storing and processing of long aggregates lists in a spatial data warehouse. An aggregates list contains aggregates, calculated from the data stored in the database. Our comparative criteria are: the efficiency of retrieving the aggregates and the consumed memory. The first approach assumes using a modified Java list supported with materialization mechanism. In the second approach we utilize a table divided into pages. For this approach we present three different multi-thread page-filling algorithms used when the list is browsed. When filled with aggregates, the pages are materialized. We also present test results comparing the efficiency of the two approaches.
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PDFDOI: http://dx.doi.org/10.17951/ai.2006.4.1.149-160
Date of publication: 2006-01-01 00:00:00
Date of submission: 2016-04-27 10:15:05
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