Journal of Physics Conference Series · 2014 · 20 citations · 3 references
ComputingComputer ScienceHigh-performance ComputingData ManagementDatabasesStorage SystemsData Storage SystemsDatabase ManagementDistributed Data ProcessingDistributed StorageQuery ProcessingStorage ManagementAtlas IndexingData Storage ArchitecturesDeploymentDigital Data StorageEvent Data ManagementKey-value StorageKey-value StoresUse Cases
Modern scientific experiments collect vast amounts of data that must be catalogued to meet multiple use cases and search criteria. In particular, high-energy physics experiments currently in operation produce several billion events per year. A database with the references to the files including each event in every stage of processing is necessary in order to retrieve the selected events from data storage systems. The ATLAS EventIndex project is developing a way to store the necessary information using modern data storage technologies (Hadoop, HBase etc.) that allow saving in memory key-value pairs and select the best tools to support this application from the point of view of performance, robustness and ease of use. This paper describes the initial design and performance tests and the project evolution towards deployment and operation during 2014.
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Building a scalable event-level metadata service for ATLAS
J. Cranshaw, L Goosens, D. Malon et al. · Journal of Physics Conference Series · 2008 · 13 citations · Full text
Event selection services in ATLAS
J. Cranshaw, T. Çuhadar-Dönszelmann, E. J. Gallas et al. · Journal of Physics Conference Series · 2010 · 12 citations · Full text