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