Difference: ParadiseSummary (1 vs. 3)

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META TOPICPARENT	name="MyResearch"

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META TOPICPARENT	name="DMM.AprilWebster"

Paradise Project

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META TOPICPARENT	name="MyResearch"

Paradise Project

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The stated goal of this project is to "apply object-oriented and parallel database technology to the task of implementing a parallel GIS system capable of managing extremely large (multi-terabyte) data sets such as those that will be produced by the upcoming NASA EOSDIS project. [1]"

Overview:

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Paradise is an extended object-relational database system: not only does it support the standard data types, but it also has "built-in support" for vector and raster data (i.e., raster, polygon, polyline, poine, circle data types) [3].

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Features:

Employs parallelism
All data types, both standard and GIS, are implemented as ADTs (in C++)

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GIS data types implemented:
- Vector data: Paradise includes point, polygon, polyline, swiss-cheese polygon, and circle ADTs
- Raster data: Paradise supports 8-bit, 16-bit and 24-bit pixel sizes for raster data

Concerns:

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Evaluation:

Notes:

Supports clipping of raster files to a polygon (vector file)

References: (1) Paradise: A Database System for GIS Applications. ACM Sigmod 1995.

Revision 12007-02-22 - AprilWebster

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META TOPICPARENT	name="MyResearch"

Paradise Project

Goal: The stated goal of this project is to "apply object-oriented and parallel database technology to the task of implementing a parallel GIS system capable of managing extremely large (multi-terabyte) data sets such as those that will be produced by the upcoming NASA EOSDIS project. [1]"

Overview: Paradise is an extended object-relational database system: not only does it support the standard data types, but it also has "built-in support" for vector and raster data (i.e., raster, polygon, polyline, poine, circle data types) [3].

Features:

Employs parallelism
All data types, both standard and GIS, are implemented as ADTs (in C++)

Concerns:

References: (1) Paradise: A Database System for GIS Applications. ACM Sigmod 1995. (2) Patel, J. et al. Building a Scalable Geo-Spatial DBMS: Technology, Implementation, and Evaluation. ACM Sigmod 1997. (3) The Paradise Project. http://www.cs.wisc.edu/paradise/

-- AprilWebster - 22 Feb 2007

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