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
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