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Performance Comparison of DAOS and Lustre for Object Data Storage Approaches (2211.09162v1)

Published 16 Nov 2022 in cs.DC

Abstract: High-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 paper we assess the performance of storing object-like data within a standard file system, where the configuration and access mechanisms have not been optimised for object access behaviour, and compare with and investigate the benefits of using an object storage system. Whilst 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.

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Authors (4)
  1. Nicolau Manubens (5 papers)
  2. Simon D. Smart (8 papers)
  3. Tiago Quintino (5 papers)
  4. Adrian Jackson (24 papers)
Citations (6)

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