Speaker
Mr
Pavel Jakl
(Nuclear Physics Institute, Academy of Sciences of the Czech Republic)
Description
Facing the reality of storage economics, NP experiments such as RHIC/STAR have been
engaged in a shift in the analysis model, and now heavily rely on using cheap disks
attached to processing nodes, as such a model is extremely beneficial over expensive
centralized storage. Additionally, exploiting storage aggregates with enhanced
distributed computing capabilities such as dynamic space allocation (lifetime of
spaces), file management on shared storages (lifetime of files, pinning file),
storage policies or a uniform access to heterogeneous storage solutions is not an
easy task. The Xrootd/Scalla system allows for storage aggregation. We will present
an overview of the largest deployment of Scalla (Structured Cluster Architecture for
Low Latency Access) in the world spanning over 1000 CPUs co-sharing the 350 TB
Storage Elements and the experience on how to make such a model work in the RHIC/STAR
standard analysis framework. We will explain the key features and approach on how to
make access to mass storage (HPSS) possible in such a large deployment context.
Furthermore, we will give an overview of a fully "gridified" solution using the
plug-and-play features of Scalla architecture, replacing standard storage access with
grid middleware SRM (Storage resource manager) components designed for space
management and will compare the solution with the standard Scalla approach in use in
STAR for the past 2 years. Integration details, future plans and status of
development will be explained in the area of best transfer strategy between
multiple-choice data pools and best placement with respect of load balancing and
interoperability with other SRM aware tools or implementations.
| Submitted on behalf of Collaboration (ex, BaBar, ATLAS) | STAR |
|---|
Authors
Dr
Jerome LAURET
(BROOKHAVEN NATIONAL LABORATORY)
Mr
Pavel Jakl
(Nuclear Physics Institute, Academy of Sciences of the Czech Republic)
Co-authors
Mr
Alex SIM
(Lawrence Berkeley Laboratory)
Mr
Alexandru ROMOSAN
(Lawrence Berkeley Laboratory)
Mr
Andrew HANUSHEVSKY
(Stanford Linear Accelerator Center)
Mr
Arie SHOSHANI
(Lawrence Berkeley Laboratory)
