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Hierarchical Storage Support and Management for Large-Scale Multidimensional Array Database Management Systems [chapter]

Bernd Reiner, Karl Hahn, Gabriele Höfling, Peter Baumann
2002 Lecture Notes in Computer Science  
management system RasDaMan.  ...  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  ...  On the other hand, multidimensional database management systems (DBMS) offer efficient retrieval or manipulation of MDDs.  ... 
doi:10.1007/3-540-46146-9_68 fatcat:vxdo3xnd7ngzzgnfvdscyzot64

Grid Services for Fast Retrieval on Large Multidimensional Databases [chapter]

Peter Baumann
2001 Lecture Notes in Computer Science  
The basic approach is to augment the highvolume data generators with a database system for the management and extraction of spatio-temporal data.  ...  Implementation of this platform relies on the multidimensional database system RasDaMan. Evaluation covers all major application fields by HPC centres with in-depth experience in their resp. field.  ...  Acknowledgement The author wishes to express his joy about the team of outstanding ingenuity and spirit that has met to form the ESTEDI consortium.  ... 
doi:10.1007/3-540-48228-8_82 fatcat:afsnd6rlyneophjszu7diznfwu

Optimized management of large-scale data sets stored on tertiary storage systems

B. Reiner, K. Hahn
2004 IEEE Distributed Systems Online  
A new system, optimized toward high-performance computing, extends the RasDaMan (Raster Data Management) database management system to allow flexible management of multidimensional spatiotemporal data  ...  As part of the Estedi project, we developed a system that extends RasDaMan (Raster Data Management), the first commercial multidimensional-array database management system (DBMS).  ...  Another research topic is parallel query support for multidimensional data. We hope to exploit RasDaMan's inter-and intra-object parallelism techniques to improve tertiary storage access performance.  ... 
doi:10.1109/mdso.2004.5 fatcat:7zrsrhpnmra7ff5u6agdn4citm

An Array Database Approach for Earth Observation Data Management and Processing

Zhenyu Tan, Peng Yue, Jianya Gong
2017 ISPRS International Journal of Geo-Information  
A forest fire simulation study case is presented to demonstrate how the approach facilitates the EO data management and in-database computation.  ...  Our approach is implemented as an extension to SciDB, an open-source array database. The test shows that it gains much better performance in the computation compared with traditional databases.  ...  Acknowledgments: We appreciate the three anonymous reviewers for their very constructive comments that helped improve the quality of the paper.  ... 
doi:10.3390/ijgi6070220 fatcat:jxaxfigfqbcnlk63zshygr2wf4

Evaluation of a NoSQL Database for Storing Big Geospatial Raster Data

Nicole Hein, Jörg Blankenbach
2021 GI_FORUM - Journal for Geographic Information Science  
These strategies are compared with the up-and download performance of the widespread Rasdaman array database system.  ...  New strategies and access structures have been developed to ensure the persistence and performant access to image data in Neo4j.  ...  In the 1990s, Peter Baumann developed the first prototype of Rasdaman (Rasta Data Manager) to store multidimensional arrays in a database system, especially for geospatial or space sciences (Baumann 1993  ... 
doi:10.1553/giscience2021_01_s76 fatcat:qm622gefyraexewnc4ppveqsrq

Introducing multidisciplinary thinking in Computer Engineering: A new way of teaching database systems

Claudia Bauzer Medeiros, Peter Baumann, Constantin Jucovschi
2010 IEEE EDUCON 2010 Conference  
This paper describes an experiment conducted in Brazil in teaching an undergraduate database course to Computer Engineering and Computer Science students at the University of Campinas (UNICAMP).  ...  The ultimate goal is to engage students in a richer learning environment, enhance motivation, broadening their horizons, and showing them how to solve problems in other fields by looking at a problem from  ...  In this case, the emphasis will be on examples for handling multimedia, and rasdaman will be used as a tool, but not a system to learn database concepts.  ... 
doi:10.1109/educon.2010.5492532 fatcat:ry2brfrxavb2flqnhxm2ezwp7q

Fostering Cross-Disciplinary Earth Science Through Datacube Analytics [chapter]

Peter Baumann, Angelo Pio Rossi, Brennan Bell, Oliver Clements, Ben Evans, Heike Hoenig, Patrick Hogan, George Kakaletris, Panagiota Koltsida, Simone Mantovani, Ramiro Marco Figuera, Vlad Merticariu (+4 others)
2018 Earth Observation Open Science and Innovation  
Obviously, goal is to allow users to "ask any question, any time, on any size", thereby enabling them to "build their own product on the go".  ...  One of the most influential initiatives in EO is EarthServer which has demonstrated new directions for flexible, scalable EO services based on innovative NoSQL  ...  Acknowledgement The EarthServer initiative is partly funded by the European Commission under grant agreement FP7 286310 and H2020 654367.  ... 
doi:10.1007/978-3-319-65633-5_5 fatcat:h4iheb7a3rff7p7v7a67gwackm


C. Arias Munoz, M. A. Brovelli, S. Corti, G. Zamboni
2016 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
NoSQL databases like MongoDB and frameworks like RASDAMAN could offer different functionalities that facilitate working with larger volumes and more heterogeneous geospatial data sources.  ...  necessary to integrate high-performance solutions, preferably internet based, to achieve the goals.  ...  ACKNOWLEDGEMENTS The authors wish to acknowledge computer-engineering students Anna Trofimova, Emanuele Mariani e Jacopo Mossina from Politecnico di Milano, for their significant contribution to this work  ... 
doi:10.5194/isprs-archives-xli-b2-595-2016 fatcat:zyo5klkmzjgxbmne42a62m4gli

Evaluating the Open Source Data Containers for Handling Big Geospatial Raster Data

Fei Hu, Mengchao Xu, Jingchao Yang, Yanshou Liang, Kejin Cui, Michael M. Little, Christopher S. Lynnes, Daniel Q. Duffy, Chaowei Yang
2018 ISPRS International Journal of Geo-Information  
Big geospatial raster data pose a grand challenge to data management technologies for effective big data query and processing.  ...  For example, Rasdaman was developed to handle raster data and GeoSpark/SpatialHadoop were enhanced from Spark/Hadoop to handle vector data.  ...  We thank the anonymous reviewers for their insightful comments and reviews. ClimateSpark was developed by Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/ijgi7040144 fatcat:csbbnucfbzd2za4ghkqnyclihm


2001 Developments in Teracomputing  
The European ESTEDI collaboration is such a project, it focuses on a particular aspect of data management, the support of high I/O requirements of codes on high-end computing facilities.  ...  In this environment new challenges are posed for the Management of Data, foremost in the areas of data archival, organisation of data in a heterogeneous, distributed environment, data accessibility and  ...  RasDaMan The goal of the RasDaMan DBMS is to provide database services on general MDD structures in a domain-independent way.  ... 
doi:10.1142/9789812799685_0014 fatcat:ol3twqflzzalxncykzyndwt6kq

Exploring Cloud Opportunities from an Array Database Perspective

Alex Dumitru, Vlad Merticariu, Peter Baumann
2014 Proceedings of Workshop on Data analytics in the Cloud - DanaC'14  
We present an enhancement of the well-established Array DBMS rasdaman with intra-query distribution capabilities: requests, incoming in the form of database queries, are broken into sub-queries which are  ...  Cloud architectures can be expected to significantly speed up array databases.  ...  Thanks to George Merticariu for the cloud benchmarking suite.  ... 
doi:10.1145/2627770.2627775 dblp:conf/sigmod/DumitruMB14 fatcat:ehl6bpww4bahfblp64ynt424oq

Storage of multidimensional arrays based on arbitrary tiling

P. Furtado, P. Baumann
1999 Proceedings 15th International Conference on Data Engineering (Cat. No.99CB36337)  
The proposed approach allows the storage structure to be configured according to user access patterns through tunable tiling strategies.  ...  Storage management of multidimensional arrays aims at supporting the array model needed by applications and insuring fast execution of access operations.  ...  Acknowledgments RasDaMan was sponsored by the European ESPRIT Programm. We would like to acknowledge R. Ritsch, N. Widmann and A. Dehmel for the teamwork in RasDaMan.  ... 
doi:10.1109/icde.1999.754964 dblp:conf/icde/FurtadoB99 fatcat:4mab5n4sv5chtmt35xfszo4oga

Array Database Internals
Базы данных для обработки массивов: взгляд изнутри

V.A. Pavlov, B.A. Novikov
2018 Proceedings of the Institute for System Programming of RAS  
After huge amount of big scientific data, which needed to be stored and processed, has emerged, the problem of large multidimensional arrays support gained close attention in the database world.  ...  approaches.  ...  Conclusion In the current paper we have investigated the theoretical background of array databases exploring three different mature array database management systems: RasDaMan, AML, SciDB.  ... 
doi:10.15514/ispras-2018-30(1)-10 fatcat:atby5arijbbvxffubxamwa3apy

A Database Array Algebra for Spatio-Temporal Data and Beyond [chapter]

Peter Baumann
1999 Lecture Notes in Computer Science  
Recently multidimensional arrays have received considerable attention among the database community, applications ranging from GIS to OLAP.  ...  The universality of our approach is demonstrated by a number of examples from imaging, statistics, and OLAP.  ...  The RasDaMan project has been partially sponsored by the European Commission under grant no. 20073.  ... 
doi:10.1007/3-540-48521-x_7 fatcat:bjqalxg3ojeshj7jikx4vz26l4

Spatio-Temporal Gridded Data Processing on the Semantic Web

Andrej Andrejev, Dimitar Misev, Peter Baumann, Tore Risch
2015 2015 IEEE International Conference on Data Science and Data Intensive Systems  
• Queries are more transparent and self-contained than array-only queries; there is no need to explicitly encode metadata values in queries, since the metadata can be retrieved from the same database.  ...  Multidimensional array data, such as remotesensing imagery and timeseries, climate model simulations, telescope observations, and medical images, contribute massively to virtually all science and engineering  ...  of SciSPARQL Database Manager, translating query predicates to rasdaman API calls whenever possible, thus pushing the computations closer to the array storage, and retrieving smaller amounts of data from  ... 
doi:10.1109/dsdis.2015.109 dblp:conf/dsdis/AndrejevMBR15 fatcat:wchlyjjaxbgmfnx2jghiookyxy
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