Title :
Views, objects, and persistence for accessing a high volume global data set
Author :
Baldwin, Richard T.
Abstract :
Efficient access methods are reviewed and explored in relation to the global surface hourly data set and several of its derivative products. Typical access paradigms are compared for object persistence using streamed output files, key/value databases, and object and relational databases (ODBMS/RDBMS). An overview of Java Data Objects (JDO), Enterprise Java Beans (EJB), and other alternatives to persist objects are given. Efficiencies gained by implementing RDBMS views or aggregates are also investigated. Given spatial, temporal, and analytical factors, a conservative estimate for the number of data objects from global hourly data approaches 2 billion.
Keywords :
Java; information retrieval; object-oriented databases; relational databases; Enterprise Java Beans; Java Data Objects; data set access; integrated surface hourly data set; key value databases; object databases; relational databases; weather data; Aggregates; Defense industry; FAA; Humidity; Java; Material storage; Relational databases; Spatial databases; Temperature; Wind speed;
Conference_Titel :
Mass Storage Systems and Technologies, 2003. (MSST 2003). Proceedings. 20th IEEE/11th NASA Goddard Conference on
Print_ISBN :
0-7695-1914-8
DOI :
10.1109/MASS.2003.1194840
