TY - GEN
T1 - Provisioning ZFS pools on lustre
AU - Mohr, Rick
AU - Howard, Adam P.
N1 - Publisher Copyright:
© 2019 Association for Computing Machinery.
PY - 2019/7/28
Y1 - 2019/7/28
N2 - While Lustre’s parallelism, performance, and scalability make it desirable as a storage solution for clusters, its limitations prevent it from being suitable as a general purpose storage for all of a cluster’s needs. In particular, Lustre’s relatively poor performance for small, random I/O as well as metadata-intensive workloads make it less suitable for use as storage for users’ home areas or working directories for compilation. In this paper, an experiment of deploying a ZFS file system using files pre-allocated on a Lustre file system as the ZFS storage pools is presented. While this adds many management options like snapshots and more fine grained controls over users and quotas, we focus on examining how adding this layer can affect the performance of suboptimal Lustre workloads. Benchmarking of the Lustre file system with and without the ZFS file system is performed, and the results are presented and analyzed.
AB - While Lustre’s parallelism, performance, and scalability make it desirable as a storage solution for clusters, its limitations prevent it from being suitable as a general purpose storage for all of a cluster’s needs. In particular, Lustre’s relatively poor performance for small, random I/O as well as metadata-intensive workloads make it less suitable for use as storage for users’ home areas or working directories for compilation. In this paper, an experiment of deploying a ZFS file system using files pre-allocated on a Lustre file system as the ZFS storage pools is presented. While this adds many management options like snapshots and more fine grained controls over users and quotas, we focus on examining how adding this layer can affect the performance of suboptimal Lustre workloads. Benchmarking of the Lustre file system with and without the ZFS file system is performed, and the results are presented and analyzed.
KW - Benchmarking
KW - Lustre
KW - ZFS
UR - http://www.scopus.com/inward/record.url?scp=85071032636&partnerID=8YFLogxK
U2 - 10.1145/3332186.3332245
DO - 10.1145/3332186.3332245
M3 - Conference contribution
AN - SCOPUS:85071032636
T3 - ACM International Conference Proceeding Series
BT - Proceedings of the Practice and Experience in Advanced Research Computing
PB - Association for Computing Machinery
T2 - 2019 Conference on Practice and Experience in Advanced Research Computing: Rise of the Machines (Learning), PEARC 2019
Y2 - 28 July 2019 through 1 August 2019
ER -