Performance Comparison of DAOS and Lustre for Object Data Storage Approaches
DescriptionHigh-performance object stores are an emerging technology which offers an alternative solution in the field of HPC storage, with potential to address long-standing scalability issues in traditional distributed POSIX file systems due to excessive consistency assurance and metadata prescriptiveness.
In this presentation, we assess the performance of storing object-like data within a standard file system, where the configuration and access mechanisms have not been optimized for object access behavior, and compare with and investigate the benefits of using an object storage system. While this approach is not exploiting the file system in a standard way, this work allows us to investigate whether the underlying storage technology performance is more or less important than the software interface and infrastructure a file system or object store provides.
In this presentation, we assess the performance of storing object-like data within a standard file system, where the configuration and access mechanisms have not been optimized for object access behavior, and compare with and investigate the benefits of using an object storage system. While this approach is not exploiting the file system in a standard way, this work allows us to investigate whether the underlying storage technology performance is more or less important than the software interface and infrastructure a file system or object store provides.
Event Type
Workshop
TimeMonday, 14 November 20223:30pm - 3:50pm CST
LocationC148
Recorded
W