Directory search performance optimization of AMGA for the Belle II experiment

AMGA (ARDA Metadata Grid Application) is a grid metadata catalogue 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 biomedical user communities. Currently, AMGA is exploited to manage the metadata in the gBa...

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Published inJournal of physics. Conference series Vol. 664; no. 4; pp. 42030 - 42036
Main Authors Park, Geunchul, Kwak, Jae-Hyuck, Huh, Taesang, Hwang, Soonwook
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 23.12.2015
Subjects
Directories
Experiments
Metadata
Optimization
Particle physics
Performance degradation
Physics
Queries
Query processing
Response time (computers)
Searching
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Summary:AMGA (ARDA Metadata Grid Application) is a grid metadata catalogue 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 biomedical user communities. Currently, AMGA is exploited to manage the metadata in the gBasf2 framework at the Belle II experiment, 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. Although AMGA exhibits very outstanding performance for a relatively small amount of data, as the number of directories and the metadata size increase (e.g. hundreds of thousands of directories) during the MC Campaign, AMGA suffers from severe query processing performance degradation. To address this problem, we modified the query search mechanism and the database scheme of AMGA to provide 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 catalogue in a large-scale scientific experimental framework
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/664/4/042030