6533b7d4fe1ef96bd1261ff9

RESEARCH PRODUCT

GekkoFS - A Temporary Distributed File System for HPC Applications

Marc-andré VefTommaso TocciRamon NouNafiseh MotiAndré BrinkmannToni CortesAlberto MirandaTim Sub

subject

File system020203 distributed computingBurst buffersParallel processing (Electronic computers)Computer scienceProcessament en paral·lel (Ordinadors)020207 software engineering02 engineering and technologyBuffer storage (Computer science)computer.software_genreData structureDistributed file systemsMetadataParallel processing (DSP implementation)POSIXServerScalabilityHPC0202 electrical engineering electronic engineering information engineeringOperating systemHigh performance computingDistributed File System:Informàtica::Arquitectura de computadors::Arquitectures paral·leles [Àrees temàtiques de la UPC]computerCàlcul intensiu (Informàtica)

description

We present GekkoFS, a temporary, highly-scalable burst buffer file system which has been specifically optimized for new access patterns of data-intensive High-Performance Computing (HPC) applications. The file system provides relaxed POSIX semantics, only offering features which are actually required by most (not all) applications. It is able to provide scalable I/O performance and reaches millions of metadata operations already for a small number of nodes, significantly outperforming the capabilities of general-purpose parallel file systems. The work has been funded by the German Research Foundation (DFG) through the ADA-FS project as part of the Priority Programme 1648. It is also supported by the Spanish Ministry of Science and Innovation (TIN2015–65316), the Generalitat de Catalunya (2014–SGR–1051), as well as the European Union’s Horizon 2020 Research and Innovation Programme (NEXTGenIO, 671951) and the European Comission’s BigStorage project (H2020-MSCA-ITN-2014-642963). This research was conducted using the supercomputer MOGON II and services offered by the Johannes Gutenberg University Mainz. Peer Reviewed

yearjournalcountryeditionlanguage
2018-09-012018 IEEE International Conference on Cluster Computing (CLUSTER)
10.1109/cluster.2018.00049http://dx.doi.org/10.1109/CLUSTER.2018.00049