Massively Distributed Datacube Processing
Vlad Merticariu, Peter Baumann · 2019
Datacub es provide a suitable paradigm for storing, accessing and processing la rge-scale, multidimensional spatio-temporal raster data. As hardware and distributed infrastructure, such as cloud and federations, become common, enabling datacubes to fully exploit the available capabilities is a crucial step in building scalable systems for complex query answering in real time. In this contribution, we describe an approach to distributed datacube processing that enables datacube engin es - in our case rasdaman - to analyze, for every incoming query, a large number of equivalent distributed execution variants, and to pick an efficient one.