Using ceph's BlueStore as object storage in HPC storage framework

Abstract

In times of ever-increasing data sizes, data management and insightful analysis are amidst the most severe challenges of high-performance computing. While high-level libraries such as NetCDF, HDF5, and ADIOS2, as well as the associated self-describing data formats, offer convenient interfaces to complex data sets, they were built on outdated assumptions of storage systems and interfaces. They mostly rely on the POSIX interface that researchers have been aiming to replace for decades. Among others, its strict file semantics are not suitable for current HPC systems. As object storage has become increasingly prominent to store datasets of data formats like HDF5, providing a scalable object store backend is necessary. Therefore, we looked into Ceph’s object store BlueStore and developed a backend for the storage framework JULEA that uses BlueStore without the need for a full-fledged working Ceph cluster. This way, we significantly reduce the prerequisites of running it on an existing HPC cluster. BlueStore works directly on a raw block device and thereby circumvents the problems of other Ceph storage backends like FileStore and KStore. In a first evaluation, we examine the performance of Blue- Store and compare it to a POSIX-based solution which shows our prototype is functional yet not optimized enough to keep up with the POSIX-based object store. For example, the peak for explicitly synced writes is 50 MB/s for POSIX with a block size of 4,096 kiB and thereby twice as high as BlueStore’s with 20.5 MB/s.