Issue |
EPJ Web Conf.
Volume 214, 2019
23rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018)
|
|
---|---|---|
Article Number | 04043 | |
Number of page(s) | 5 | |
Section | T4 - Data handling | |
DOI | https://doi.org/10.1051/epjconf/201921404043 | |
Published online | 17 September 2019 |
https://doi.org/10.1051/epjconf/201921404043
Using ZFS to manage Grid storage and improve middleware resilience
Edinburgh University,
James Clerk Maxwell Building, Peter Guthrie Tait Road,
Edinburgh,
EH9 3FD
* e-mail: rcurrie@cern.ch
** e-mail: Teng.Li@ed.ac.uk
*** e-mail: awashbro@ph.ed.ac.uk
Published online: 17 September 2019
ZFS is a powerful storage management technology combining filesystem, volume management and software RAID technology into a single solution. The WLCG Tier-2 computing at Edinburgh was an early adopter of ZFS on Linux, with this technology being used to manage all of our storage systems including servers with aging components. Our experiences of ZFS deployment have been shared with the Grid storage community which has led to additional sites adopting this technology.
ZFS is highly configurable therefore allowing systems to be tuned to give best performance under diverse workloads. This paper highlights our experiences in tuning our systems for best performance when combining ZFS with DPM storage management. This has resulted in reduced system load and better data throughput. This configuration also provides the high redundancy required for managing older storage servers. We also demonstrate how ZFS can be combined with Distributed Replicated Block Device (DRBD) technology to provide a performant and resilient hypervisor solution to host multiple production Grid services.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.