Efficient organization and access of multi-dimensional datasets on tertiary storage systems
Information Systems - Special issue: scientific databases
Multidimensional access methods
ACM Computing Surveys (CSUR)
Spatial databases with application to GIS
Spatial databases with application to GIS
Efficient Organization of Large Multidimensional Arrays
Proceedings of the Tenth International Conference on Data Engineering
Performance Measurements of Tertiary Storage Devices
VLDB '98 Proceedings of the 24rd 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
SSDBM '98 Proceedings of the 10th International Conference on Scientific and Statistical Database Management
Storage of Multidimensional Arrays Based on Arbitrary Tiling
ICDE '99 Proceedings of the 15th International Conference on Data Engineering
Optimized Management of Large-Scale Data Sets Stored on Tertiary Storage Systems
IEEE Distributed Systems Online
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
Proposing a new architecture for mobile information and consultation support systems
TELE-INFO'05 Proceedings of the 4th WSEAS International Conference on Telecommunications and Informatics
The OGC web coverage processing service (WCPS) standard
Geoinformatica
ArrayStore: a storage manager for complex parallel array processing
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
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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Large-scale scientific experiments or simulation programs often generate large amounts of multidimensional data. Data volume may reach hundreds of terabytes (up to petabytes). In the present and the near future, the only practicable way for storing such large volumes of multidimensional data are tertiary storage systems. But commercial (multidimensional) database systems are optimized for performance with primary and secondary memory access. So tertiary storage memory is only in an insufficient way supported for storing or retrieval of multidimensional array data. To combine the advantages of both techniques, storing large amounts of data on tertiary storage media and optimizing data access for retrieval with multidimensional database management systems is the intention of this paper. We introduce concepts for efficient hierarchical storage support and management for large-scale multidimensional array database management systems and their integration into the commercial array database management system RasDaMan.