The SuperB experiment needs large samples of Monte-Carlo simulated events in order to finalize the detector design and to estimate the data analysis performances. This work describes the system we developed to manage the production of the required simulated events in a fully distributed environment. The distributed infrastructure includes several sites in Europe and North America and is based on Grid services. The production of simulated events consists of: distribution of input data files to the remote site Storage Elements (SE), job submission to all available remote sites, output data transfer to the INFN-CNAF repository. The job workflow includes procedures for consistency checking, monitoring, data handling and bookkeeping metadata communication. A data bookkeeping system has been implemented in order to maintain the information associated to data files and keep track of the relations between executed jobs and their parameters and outputs. The distributed production system is operational since February 2010. Results from the first production cycles (Spring 2010 and Summer 2010) are reported.
First Results from the SuperB Simulation Production System
STROILI, ROBERTO;
2010
Abstract
The SuperB experiment needs large samples of Monte-Carlo simulated events in order to finalize the detector design and to estimate the data analysis performances. This work describes the system we developed to manage the production of the required simulated events in a fully distributed environment. The distributed infrastructure includes several sites in Europe and North America and is based on Grid services. The production of simulated events consists of: distribution of input data files to the remote site Storage Elements (SE), job submission to all available remote sites, output data transfer to the INFN-CNAF repository. The job workflow includes procedures for consistency checking, monitoring, data handling and bookkeeping metadata communication. A data bookkeeping system has been implemented in order to maintain the information associated to data files and keep track of the relations between executed jobs and their parameters and outputs. The distributed production system is operational since February 2010. Results from the first production cycles (Spring 2010 and Summer 2010) are reported.Pubblicazioni consigliate
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