Vlad Merticariu

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Array Databases close a gap in the database ecosystem by adding modeling, storage, and processing support on multi-dimensional arrays. Declarative queries provide processing of arrays of regularly massive size, such as Tera-to Petabyte datacubes, while allowing internal degrees of freedom in partitioning the large arrays into tractable sub-arrays. Among the(More)
Since array data of arbitrary dimensionality appears in massive amounts in a wide range of application domains, such as geographic information systems, climate simulations, and medical imaging, it has become crucial to build scalable systems for complex query answering in real time. Cloud architectures can be expected to significantly speed up array(More)
Flexible, scalable services on massive geo data receive much attention today. In particular, the OGC Web Coverage Service (WCS) standards suite has established a best practice for versatile access and retrieval on spatio-temporal "Big Data". Fewer efforts have been devoted, though, to an easy-to-use, standardized way of maintaining a service's offering. Our(More)
Array databases are used to manage and query large N-dimensional arrays, such as sensor data, simulation models and imagery, as well as various time-series. Modern database systems and database applications make extensive use of caching techniques to improve performance. Research on array databases on the other hand has not explored the potential benefits(More)
Spatio-temporal grid data form a core structure in Earth and Space sciences alike. While Array Databases have set out to support this information category they only offer integer indexing, corresponding to equidistant grids. However, often grids in reality have irregular structures, such as raw satellite swath data. We present an approach to modeling(More)
Modern sensors, such as hyperspectral cameras, deliver massive amounts of data. On board of satellites, the high volume is paired with low bandwidth and part-time availability, during overpasses. This leads to well-known availability problems and bottlenecks in today's remote sensing. We address this challenge by enhancing the on-board system with flexible(More)
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