DocumentCode :
3325641
Title :
Evaluation of AMGA as a Data-Handling tool for a new HEP experiment
Author :
Fella, Armando ; Luppi, Eleonora ; Luzzi, Cinzia ; Tomassetti, Luca
Author_Institution :
INFN CNAF, Bologna, Italy
fYear :
2009
fDate :
Oct. 24 2009-Nov. 1 2009
Firstpage :
523
Lastpage :
525
Abstract :
High Energy Physics experiments need a huge amount of Monte Carlo Simulated events. Currently, Grid computing infrastructures are widely used for the distributed execution of this kind of CPU consuming jobs. To locate and retrieve files spread over the grid, an efficient tool to query and discover information about their content (metadata) is needed. AMGA is a Metadata Catalog Service, which is part of the gLite software stack, being developed for the EGEE project. In this work we wish to evaluate the capability of AMGA to fulfill the requirements of the SuperB experiment simulation production. For this purpose we set up a simple prototype tailored to meet SuperB characteristics. We estimate the overheads and address the performance issues when AMGA is used as a metadata service in our prototype.
Keywords :
Monte Carlo methods; data handling; data mining; grid computing; high energy physics instrumentation computing; meta data; query processing; AMGA; EGEE project; Metadata Catalog Service; Monte Carlo simulation; SuperB experiment simulation production; data handling tool; gLite software stack; grid computing infrastructures; high energy physics experiment; information discovery; query processing; Computational modeling; Detectors; Discrete event simulation; Distributed computing; Event detection; Grid computing; Physics; Production; Prototypes; Relational databases; Bookkeeping; Data Handling; Grid Distributed Computing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Nuclear Science Symposium Conference Record (NSS/MIC), 2009 IEEE
Conference_Location :
Orlando, FL
ISSN :
1095-7863
Print_ISBN :
978-1-4244-3961-4
Electronic_ISBN :
1095-7863
Type :
conf
DOI :
10.1109/NSSMIC.2009.5401642
Filename :
5401642
Link To Document :
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