Monet and its geographical extensions: A novel approach to high performance GIS processing
We describe Monet, a novel database system, designed to get maximum performance out of today's workstations and symmetric multiprocessors.
Monet is a type- and algebra-extensible database system using the Decomposed Storage Model (DSM) and employing shared memory parallelism. It applies purely main-memory algorithms for processing and uses OS virtual memory primitives for handling large data. Monet provides many options in memory management and virtual-memory clustering strategies to optimize access to its tables.
We discuss how these unusual features impacted the design, implementation and performance of a set of GIS extension modules, that can be loaded at runtime in Monet, to obtain a functional complete GIS server.
The validity of our approach is shown by excellent performance figures on both the Regional and National Sequoia storage benchmark.
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