A prototype suite for data-analysis management of the SuperB experiment
Autor: | Matteo Manzali, A. Fella, Matteo Rama, Eleonora Luppi, Giacinto Donvito, R. Stroili, Andrea Di Simone, Luca Tomassetti, Silvio Pardi, A. Gianelle, A. Gianoli, Francesco Giacomini, F. Bianchi, Marco Corvo, Bruno Santeramo, Alejandro Perez, P. Franchini, Stefano Longo, V. Ciaschini, Guido Russo, Steffen Luiz, Domenico Delprete |
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Rok vydání: | 2012 |
Předmět: |
Engineering
Distributed analysis Interface (computing) Nuclear physics Distributed systems computer.software_genre Interface layer Information management Resource (project management) Information system Plug-in Use case High energy physics Simulation Flexibility (engineering) Ganga business.industry Design and implementations Distributed analysis Distributed resources Distributed systems Ganga Interface layer The standard model Workload management Data transfer Distributed computer systems Elementary particles Experiments High energy physics Medical imaging Monte Carlo methods Nuclear physics Suite Elementary particles Monte Carlo methods Data transfer Distributed computer systems Design and implementations The standard model Workload management Key (cryptography) Distributed resources Medical imaging Experiments business Software engineering computer |
Zdroj: | 2012 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC). |
DOI: | 10.1109/nssmic.2012.6551252 |
Popis: | The SuperB asymmetric e+e- collider and detector to be built at the newly founded Nicola Cabibbo Lab will provide a uniquely sensitive probe of New Physics in the flavor sector of the Standard Model. Studying minute effects in the heavy quark and heavy lepton sectors requires a data sample of 75ab-1 and a peak luminosity of 1036cm-2s-1. Providing a user-friendly solution to workload management in a distributed resource system is one of the key goal of a HEP community as SuperB experiment. Physicists involved in Monte Carlo simulation productions and in data analysis should be able to perform job management and basic data transfer operations limiting as possible training costs and maximizing flexibility in resource exploitation. The SuperB computing group adopted Ganga as the interface layer of such distributed analysis infrastructure. A SuperB-specific Ganga-plugin has been developed to accomplish experiment requirements as information system interface, use cases implementation, dataset management and job wrapper interactions. This work will present the Ganga plugin design and implementation, and its integration with the wider distributed system adopted by the collaboration. |
Databáze: | OpenAIRE |
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