VGRID: a generic, dynamic HDF5 storage model for georeferenced grid data

Steed, Chad A.; Braud, J.; Koehler, K.A.

doi:10.1109/oceans.2002.1192087

Cited by 3 publications

(4 citation statements)

References 1 publication

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“…However, HDF5 only supports partitioning but not for replication. HDF5 offers the most powerful storage option that is called chunked layout option [14]. It partitions the dataset into equalized "chunks" that are stored separately in the file.…”

Section: List Of Comparisonmentioning

confidence: 99%

A Typical Case of Recommending the Use of a Hierarchical Data Format

Wagenaars¹,

Bakema

Sibarani

2012

IJDMS

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Storing large amounts of data in an efficient way from the point of view of very fast retrieval is an important requirement for many industries like KEMA, a company offering consulting, testing and certification in the energy business. Because their relational database could not cope fast enough with the large amounts of data involved, an alternative way for data storage was proposed, called Hierarchical Data Format 5 (HDF5). HDF5 is a data model, a library, and file format for storing and managing data. Four hierarchical designs for storing and retrieving the large amounts of data involved were investigated. A benchmark was carried out in order to know which hierarchical structure would perform best. Eventually, a benchmark between HDF5 and MS SQL Server was carried out. It could be shown that HDF5 performs four (4) times better for inserting and even 200 times better for retrieving data than the MS. SQL Server.

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Section: List Of Comparisonmentioning

confidence: 99%

A Typical Case of Recommending the Use of a Hierarchical Data Format

Wagenaars¹,

Bakema

Sibarani

2012

IJDMS

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“…Bathymetry outside the range of the MBARI dataset, but inside 35.52-37.99N 123.975-121.041W were obtained from a 0.01 • dataset constructed by NPS 11 . Bathymetry outside of the range of the NPS dataset were taken from a 1 minute DBDB-V 12 dataset (Steed et al, 2002).…”

Section: Domains Nesting Grids and Bathymetrymentioning

confidence: 99%

Forecasting and reanalysis in the Monterey Bay/California Current region for the Autonomous Ocean Sampling Network-II experiment

Haley

Lermusiaux

Robinson

et al. 2009

Deep Sea Research Part II: Topical Studies in Oceanography

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“…VGRID is a generic, geographic format for storing grid data that was developed primarily to meet the needs of PUMA grid data storage [10]. Due to the numerous high level similarities between the PUMA and GAIT/GDBV systems, GDBV development efforts can utilize much of the technological advances and lessons learned from the PUMA project [9].…”

Section: B Puma Backgroundmentioning

confidence: 99%

“…The GDBV database format will build on the layered-API approach of the VGRID format developed for PUMA. VGRID can be thought of as an interface between low level data storage and the product API [10]. The product specific API provides a means for providing customized algorithms that access the data through the VGRID API.…”

Section: A Database Formatmentioning

confidence: 99%

Geophysical Data Base Variable resolution (GDBV): an object-oriented database for dynamic geo-acoustic data storage

Steed

Harvey

Koehler³

et al. 2003

Oceans 2003. Celebrating the Past ... Teaming Toward the Future (IEEE Cat. No.03CH37492)

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VGRID: a generic, dynamic HDF5 storage model for georeferenced grid data

Cited by 3 publications

References 1 publication

A Typical Case of Recommending the Use of a Hierarchical Data Format

A Typical Case of Recommending the Use of a Hierarchical Data Format

Forecasting and reanalysis in the Monterey Bay/California Current region for the Autonomous Ocean Sampling Network-II experiment

Geophysical Data Base Variable resolution (GDBV): an object-oriented database for dynamic geo-acoustic data storage

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