DocumentCode :
413088
Title :
A grid service for interactive dataset analysis
Author :
Alexander, David A. ; Miller, Brian ; Johnson, Tony ; Turri, Max ; Serbo, Victor
Author_Institution :
Tech-X Corp., Boulder, CO, USA
fYear :
2004
fDate :
26-30 April 2004
Firstpage :
160
Abstract :
Summary form only given. Grid tools currently available are most often geared towards running batch-oriented dataset analysis jobs on a set of distributed heterogeneous computers in a production setting where the data is assumed to be in files, and do not automatically collect the results from multiple analysis jobs. This is insufficient for interactive dataset analysis, where complicated communications between the analysis jobs and the scheduler are required for interactivity and where datasets are abstracted from files, collections of files, database objects, and even virtual datasets for which only a generation algorithm exists. We describe a prototype for a system based on a set of grid services to provide interactive dataset analysis that extends the Globus Toolkit grid tools. An existing Java-based dataset analysis and visualization client tool are used to access the grid service and provide the interactive user interface for the client.
Keywords :
Java; data analysis; data visualisation; distributed databases; grid computing; interactive systems; user interfaces; Globus Toolkit grid tools; Java-based dataset analysis; batch-oriented dataset analysis job; database objects; distributed heterogeneous computers; grid service; interactive dataset analysis; interactive user interface; virtual datasets; visualization client tool; Algorithm design and analysis; Data analysis; Distributed computing; Grid computing; Java; Job production systems; Processor scheduling; Prototypes; Scheduling algorithm; Visual databases;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel and Distributed Processing Symposium, 2004. Proceedings. 18th International
Print_ISBN :
0-7695-2132-0
Type :
conf
DOI :
10.1109/IPDPS.2004.1303151
Filename :
1303151
Link To Document :
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