DocumentCode :
141844
Title :
PDS4: A model-driven planetary science data architecture for long-term preservation
Author :
Hughes, John S. ; Crichton, Daniel ; Hardman, Sean ; Law, Emily ; Joyner, Ronald ; Ramirez, Paul
Author_Institution :
Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
fYear :
2014
fDate :
March 31 2014-April 4 2014
Firstpage :
134
Lastpage :
141
Abstract :
The goal of the Planetary Data System (PDS) is the digital preservation of scientific data for long-term use by the scientific research community. After two decades of successful operation, the PDS found itself in a new era of big data, international cooperation, distributed nodes, and multiple ways of analysing and interpreting data. A project was formed to develop a disciplined architectural approach that would drive the design and implementation of a scalable data system that could evolve to meet the demands of this new era. PDS4, the next generation system, uses an explicit model-driven architectural approach coupled with modern information technologies and standards to meet these challenges in order to ensure the planetary data assets can be mined for scientific knowledge for years to come.
Keywords :
Big Data; aerospace computing; data analysis; service-oriented architecture; Big Data; PDS4; data analysis; data interpretation; disciplined architectural approach; distributed nodes; distributed service-oriented architecture; long-term preservation; model-driven planetary science data architecture approach; planetary data assets; scalable data system; scientific data digital preservation; Communities; Computer architecture; Data models; Object oriented modeling; Standards; Unified modeling language; XML;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Engineering Workshops (ICDEW), 2014 IEEE 30th International Conference on
Conference_Location :
Chicago, IL
Type :
conf
DOI :
10.1109/ICDEW.2014.6818317
Filename :
6818317
Link To Document :
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