Views, objects, and persistence for accessing a high volume global data set

Author

Baldwin, Richard T.

fYear

2003

fDate

7-10 April 2003

Firstpage

77

Lastpage

81

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Mass Storage Systems and Technologies, 2003. (MSST 2003). Proceedings. 20th IEEE/11th NASA Goddard Conference on

Print_ISBN

0-7695-1914-8

Type

conf

DOI

10.1109/MASS.2003.1194840

Filename

1194840