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Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

GeoCache: A Cache for GML Geographical Data

GeoCache: A Cache for GML Geographical Data
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Author(s): Lionel Savary (PRiSM Laboratory, France), Georges Gardarin (PRiSM Laboratory, France)and Karine Zeitouni (PRiSM Laboratory, France)
Copyright: 2013
Pages: 19
Source title: Geographic Information Systems: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-4666-2038-4.ch034

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Abstract

GML is a promising model for integrating geodata within data warehouses. The resulting databases are generally large and require spatial operators to be handled. Depending on the size of the target geographical data and the number and complexity of operators in a query, the processing time may quickly become prohibitive. To optimize spatial queries over GML encoded data, this paper introduces a novel cache-based architecture. A new cache replacement policy is then proposed. It takes into account the containment properties of geographical data and predicates, and allows evicting the most irrelevant values from the cache. Experiences with the GeoCache prototype show the effectiveness of the proposed architecture with the associated replacement policy, compared to existing works.

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