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Grid Services for Fast Retrieval on Large Multidimensional Databases
[chapter]
2001
Lecture Notes in Computer Science
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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. ...
Applications accessing HPC data have to deal with directories, file names, and data formats instead of accessing spatio-temporal data in terms of, say, simulation space-time and other user-oriented terms ...
doi:10.1007/3-540-48228-8_82
fatcat:afsnd6rlyneophjszu7diznfwu
Hierarchical Storage Support and Management for Large-Scale Multidimensional Array Database Management Systems
[chapter]
2002
Lecture Notes in Computer Science
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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 ...
But commercial (multidimensional) database systems are optimized for performance with primary and secondary memory access. ...
In principle, many natural phenomena can be modeled as spatio-temporal array data of some specific dimensionality. ...
doi:10.1007/3-540-46146-9_68
fatcat:vxdo3xnd7ngzzgnfvdscyzot64
Fostering Cross-Disciplinary Earth Science Through Datacube Analytics
[chapter]
2018
Earth Observation Open Science and Innovation
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with other datasets. ...
With the unprecedented increase of orbital sensor, in situ measurement, and simulation data there is a rich, yet not leveraged potential for obtaining insights from dissecting datasets and rejoining them ...
With WCS Core (Baumann 2010a), spatio-temporal subsetting as well as format encoding is provided; this Core must be supported by all implementations claiming conformance. ...
doi:10.1007/978-3-319-65633-5_5
fatcat:h4iheb7a3rff7p7v7a67gwackm
The multidimensional database system RasDaMan
1998
SIGMOD record
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A declarative, SQL-based array query language offers flexible retrieval and manipulation. ...
RasDaMan is a universal -i.e., domain-independent -array DBMS for multidimensional arrays of arbitrary size and structure. ...
maybe dozens of dimensions, with sizes from a few kilobytes to several Gigabytes, as spatio-temporally discretized natural phenomena or as artificially generated data sets. ...
doi:10.1145/276305.276386
fatcat:yyj6ntyogfdchbxhdissz76hgm
STANDARDS-BASED SERVICES FOR BIG SPATIO-TEMPORAL DATA
2016
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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<br><br> With OGC Coverages, a concrete, interoperable data model has been established which unifies n-D spatio-temporal regular and irregular grids, point clouds, and meshes. ...
The Web Coverage Service (WCS) suite provides versatile streamlined coverage functionality ranging from simple access to flexible spatio-temporal analytics. ...
Based on this approach, databases exceeding 100 TB are running rasdaman on spatio-temporal datacubes [9] . ...
doi:10.5194/isprs-archives-xli-b4-691-2016
fatcat:rusgxbxmdve4pdfis6gqhgiof4
STANDARDS-BASED SERVICES FOR BIG SPATIO-TEMPORAL DATA
2016
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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<br><br> With OGC Coverages, a concrete, interoperable data model has been established which unifies n-D spatio-temporal regular and irregular grids, point clouds, and meshes. ...
The Web Coverage Service (WCS) suite provides versatile streamlined coverage functionality ranging from simple access to flexible spatio-temporal analytics. ...
Based on this approach, databases exceeding 100 TB are running rasdaman on spatio-temporal datacubes [9] . ...
doi:10.5194/isprsarchives-xli-b4-691-2016
fatcat:na3misbtd5g5xkhskezwns4h7y
The multidimensional database system RasDaMan
1998
Proceedings of the 1998 ACM SIGMOD international conference on Management of data - SIGMOD '98
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A declarative, SQL-based array query language offers flexible retrieval and manipulation. ...
RasDaMan is a universal -i.e., domain-independent -array DBMS for multidimensional arrays of arbitrary size and structure. ...
maybe dozens of dimensions, with sizes from a few kilobytes to several Gigabytes, as spatio-temporally discretized natural phenomena or as artificially generated data sets. ...
doi:10.1145/276304.276386
dblp:conf/sigmod/BaumannDFRW98
fatcat:didyi5rbnvb4xpseu64kdip3ai
INTELLIGENT SUPPORT FOR HIGH I/O REQUIREMENTS OF LEADING EDGE SCIENTIFIC CODES ON HIGH-END COMPUTING SYSTEMS: THE ESTEDI PROJECT
2001
Developments in Teracomputing
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tools for spatio-temporal data. ...
Project Scope ESTEDI addresses the delivery bottleneck of large HPC results to the users by augmenting the high-volume data generators with a flexible data management and extraction tool for spatio-temporal ...
doi:10.1142/9789812799685_0014
fatcat:ol3twqflzzalxncykzyndwt6kq
Optimized management of large-scale data sets stored on tertiary storage systems
2004
IEEE Distributed Systems Online
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Different access patterns, such as spatial regions, require data-intensive extraction processes with a high CPU workload. 1 The European Spatio-Temporal Data Infrastructure for High-Performance Computing ...
Our system solves the shortcomings of data access in HPC and provides flexible data management of spatio-temporal data. ...
Access is far slower than with online access, but data retrieval is automatic. ...
doi:10.1109/mdso.2004.5
fatcat:7zrsrhpnmra7ff5u6agdn4citm
Big Data Analytics on Earth Science-the Earth Server-2 Approach
2017
International Journal of Recent Trends in Engineering and Research
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Big Data Analysis is a new emerging field of study and with this it is associated with a lot of challenges like noise within data makes it very difficult to analyze and visualize the data.Earth sciences ...
The Earth Server-2 Big Earth Data Analytics engine gives a total solution for coverage-type datasets and is built around a high performance array database technology called Rasdaman and uplifts the standards ...
It has extended to various spatio-temporal coverage data types and provides scalability of data by optimizing parallel and distributed query processing. ...
doi:10.23883/ijrter.2017.3228.wnqky
fatcat:lhusn6rouzdtbmvwofddzl3doq
Spatio-Temporal Gridded Data Processing on the Semantic Web
2015
2015 IEEE International Conference on Data Science and Data Intensive Systems
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We show how the Resource Description Framework (RDF), the Semantic Web graph model for metadata, can be leveraged for such data/metadata integration specifically for representing spatio-temporal grid data ...
arrays, including geo coverages. • 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 ...
SCIENTIFIC SPARQL OVERVIEW In this work we show that our data model, RDF with Arrays, is well-suited for representing spatio-temporal gridded coverages, together with any metadata, including those currently ...
doi:10.1109/dsdis.2015.109
dblp:conf/dsdis/AndrejevMBR15
fatcat:wchlyjjaxbgmfnx2jghiookyxy
Towards scalable ad-hoc climate anomalies search
2012
Proceedings of the 1st ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data - BigSpatial '12
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Meteorological data contribute significantly to "Big Data"; however, not only is their volume ranging into Petabyte sizes for single objects a challenge, but also the number of dimensions -such general 4-D spatio-temporal ...
Actually, climate data tend to transcend these dimensions and add an extra time dimension for the simulation run time, ending up with 5-D data cubes. ...
Dimensions of such a raster cube range from 2D x/y maps over 3D x/y/t and x/y/h cubes up to 4D x/y/z/t spatio-temporal data cubes, and even transcend this with 5-D cubes having two time axes (simulated ...
doi:10.1145/2447481.2447493
dblp:conf/gis/0001M12
fatcat:gtaq2bsbubh2dbm62anlkg4ska
BIG GEO DATA MANAGEMENT: AN EXPLORATION WITH SOCIAL MEDIA AND TELECOMMUNICATIONS OPEN DATA
2016
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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NoSQL databases like MongoDB and frameworks like RASDAMAN could offer different functionalities that facilitate working with larger volumes and more heterogeneous geospatial data sources. ...
With these applications, we demonstrate that is possible to provide processed Big Geo Data to common users, using open geospatial standards and technologies. ...
to compose 3D spatial or spatio-temporal cubes. Petascope: The OGC services Java servlet; it relies on its own database of metadata and exposes RASDAMAN array data to the web. ...
doi:10.5194/isprs-archives-xli-b2-595-2016
fatcat:zyo5klkmzjgxbmne42a62m4gli
Large-Scale, Standards-Based Earth Observation Imagery and Web Mapping Services
[chapter]
2003
Proceedings 2003 VLDB Conference
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All are based on the rasdaman array middleware which extends relational DBMSs with storage and retrieval capabilities for extremely large multidimensional arrays. ...
Earth observation (EO) and simulation data share some core characteristics: they resemble raster data of some spatio-temporal dimensionality; the complete objects are extremely large, well into Tera-and ...
A coupling with object-oriented O2 has been done earlier, showing the wide range of DBMSs with which RasDaMan can interoperate. ...
doi:10.1016/b978-012722442-8/50125-7
dblp:conf/vldb/Baumann03
fatcat:pbu565o6ujdbbni6icqvdagvuq
INSPIRE coverages: an analysis and some suggestions
2019
Open Geospatial Data, Software and Standards
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it with OGC/ ISO and to remedy the issues found. ...
In this contribution we compare INSPIRE coverages with OGC/ISO coverages, spot the differences, explain their consequences, and propose a minimal set of changes to the INSPIRE model achieving to harmonize ...
Publisher's Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. ...
doi:10.1186/s40965-019-0059-x
fatcat:h4ff4rj2gzfgniov2v2ajnb5si
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