Parallel database systems: the future of high performance database systems
Communications of the ACM
Principles of distributed database systems (2nd ed.)
Principles of distributed database systems (2nd ed.)
TOPAZ: a Cost-Based, Rule-Driven, Multi-Phase Parallelizer
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Dynamic Load Balancing in Hierarchical Parallel Database Systems
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Geo/Environmental and Medical Data Management in the RasDaMan System
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
A Database Array Algebra for Spatio-Temporal Data and Beyond
NGIT '99 Proceedings of the 4th International Workshop on Next Generation Information Technologies and Systems
Dynamic Load Balancing in Parallel Database Systems
Euro-Par '96 Proceedings of the Second International Euro-Par Conference on Parallel Processing - Volume I
Visualizing Multidimensional Raster Data with rView
DEXA '00 Proceedings of the 11th International Workshop on Database and Expert Systems Applications
Large-scale, standards-based earth observation imagery and web mapping services
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Efficient Map Portrayal Using a General-Purpose Query Language
DEXA '09 Proceedings of the 20th International Conference on Database and Expert Systems Applications
The OGC web coverage processing service (WCPS) standard
Geoinformatica
Large-Scale earth science services: a case for databases
CoMoGIS'06 Proceedings of the 2006 international conference on Advances in Conceptual Modeling: theory and practice
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Intra-query parallelism is a well-established mechanism for achievng high performance in (object-) relational database systems. However, the methods have yet not been applied to the upcoming field of multidimensional array databases. Specific properties of multidimensional array data require new parallel algorithms. This paper presents a number of new techniques for parallelizing queries in multidimensional array database management systems. It discusses their implementation in the RasDaMan DBMS, the first DBMS for generic multidimensional array data. The efficiency of the techniques presented is demonstrated using typical queries on large multidimensional data volumes.