Managing large datasets with iRODS—A performance analysis

The integrated Rule Orientated Data System (iRODS) is a Grid data management system that organizes distributed data and their metadata. A Rule Engine allows a flexible definition of data storage, data access and data processing. This paper presents scenarios implemented in a benchmark tool to measure the performance of an iRODS environment as well as results of measurements with large datasets. The scenarios concentrate on data transfers, metadata transfers and stress tests. The user has the possibility to influence the scenarios to adapt them to his own use case. The results show the possibility to find bottlenecks and potential to optimize the settings of an iRODS environment.