Name
Abstract | ||
|---|---|---|
The management and the processing of Earth science data has been gaining importance over the last decade due to higher data volumes generated by a larger number of instruments and ground stations, and due to the increase in complexity of Earth science models. In order to take full advantage of the vast amount of available data, we need the ability to seamlessly merge data from dif- ferent sources within the models, and we must be able to process this data in an efficient and timely manner. In order to support these goals, we are developing the Java Distributed Application Framework (JDAF) - a flexible and extensible framework that simplifies the design and implementation of Earth science pro- cessing systems. In order to achieve better performance and resource utilization, we parallelize some of the Earth science algorithms within the framework. |
Year | Venue | Keywords |
|---|---|---|
2003 | ScanGIS | distributed application,resource utilization |
Field | DocType | Citations |
Data processing,Computer science,Distributed design patterns,Earth science,Distributed algorithm,Merge (version control),Extensibility,Java,Distributed computing | Conference | 4 |
PageRank | References | Authors |
0.55 | 3 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Petr Votava | 1 | 66 | 10.03 |
| Rama Nemani | 2 | 4 | 0.55 |
| Keith Golden | 3 | 190 | 47.18 |
| Daniel E. Cooke | 4 | 99 | 28.90 |
| Hector Hernandez | 5 | 4 | 0.55 |
| Changming Ma | 6 | 22 | 3.47 |