Evaluation of AMGA as a Data-Handling tool for a new HEP experiment

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.