REALTIME PLANETARY-SCALE DATACUBE FUSION
- Jacobs University, Bremen, Germany
Keywords: datacube, fusion, distributed processing, query planning, rasdaman
Abstract. The datacube model has rapidly gained acceptance as a cornerstone for analysis-ready data, and also the corresponding service model which is more powerful, but easier to use than existing API-based interfaces. Mature and widely adopted datacube standards show the way how datacube functionality can be presented to clients, be they human or m2m connections. Specifically, the OGC Coverage Implementation Schema (CIS) data model and the Web Coverage Service (WCS) service model suite define a framework adopted by the main opensource as well as proprietary tools, including MapServer, GeoServer, GDAL, QGIS, ArcGIS, and python/OWSlib.
In this contribution we present federation methods implemented in the rasdaman datacube engine which is accepted technology leader, standards driver, and reference implementation for datacubes.
In summary, rasdaman allows federated processing of declarative queries whereby complete location transparency is given: any federation member can receive the query, and the federation will dynamically orchestrate each query individually for optimized processing.