000000529 001__ 529
000000529 005__ 20170309123046.0
000000529 037__ $$aBELLE2-POSTER-CONF-2017-009
000000529 041__ $$aeng
000000529 100__ $$aGeun Chul Park
000000529 245__ $$aDirectory Search Performance Optimization of  AMGA for the Belle II Experiment 
000000529 260__ $$aCHEP 2015$$c2015-04-13
000000529 300__ $$a1
000000529 520__ $$aAMGA (ARDA Metadata Grid Application) is a grid metadata catalog system that has been developed as a component of the EU FP7 EMI consortium based on the requirements of the HEP (High-Energy Physics) and the Biomed user communities. Currently, AMGA is exploited to manage the metadata in the gBasf2 framework at the Belle II which is one of the largest particle physics experiments in the world.  In this paper, we present our efforts to optimize the metadata query performance of AMGA to better support the massive MC Campaign of the Belle II experiment. While AMGA has been proved to show very competitive performance for a relatively small amount of data, as the number of directories created and the size of overall metadata increase (e.g. hundreds of thousands of directories) during the MC Campaign, it suffers from severe query processing performance degradations. To address this problem, we modified the query search mechanism and the database scheme of AMGA which results in dramatic improvements of metadata search performance and query response time.  Throughout our comparative performance analysis of metadata search operations, we show that AMGA can be an optimal solution for a metadata catalog in a large-scale scientific experimental framework.
000000529 8560_ $$fkooktae.kim@desy.de
000000529 8564_ $$uhttps://docs.belle2.org/record/529/files/BELLE2-POSTER-CONF-2017-009.pdf