Conveners
Storage and file systems
- Arne Wiebalck (CERN)
- Peter van der Reest (DESY)
Storage and file systems: Storage and file systems
- Peter van der Reest (DESY)
- Arne Wiebalck (CERN)
Max Fischer
(KIT - Karlsruhe Institute of Technology (DE))
22/05/2014, 09:00
Storage & Filesystems
Modern data processing solutions increasingly rely on data locality to achieve high data access rates and scalability. In contrast the common HEP system architectures emphasis uniform resource pools with minimal locality, allowing even for cross-site data access. The concept for the new High Performance Data Analysis (HPDA) Tier3 at KIT aims at introducing data locality to HEP batch systems....
Dr
Daniel van der Ster
(CERN)
22/05/2014, 09:25
Storage & Filesystems
Ceph was introduced at CERN in early 2013 as a potential solution to new use-cases (e.g. cloud block storage) while also providing a path toward a consolidated storage backend for other services including AFS, NFS, etc...
This talk will present the outcome of the past year of testing and production experience with Ceph. We will present our real operations experience and lessons-learned, and...
George Ryall
(STFC)
22/05/2014, 09:50
Storage & Filesystems
We are trialling the use of Ceph both as a file-system and as a cloud storage back end. I will present our experiences so far.
German Cancio Melia
(CERN)
22/05/2014, 10:15
Storage & Filesystems
CERN stores over 100PB of data on tape via CASTOR and TSM. This talk will present the current status of the CERN tape infrastructure, with a particular focus on tape performance and efficiency and the status of the large media repacking exercise.
Mr
Peter van der Reest
(DESY)
22/05/2014, 11:10
Storage & Filesystems
DESY -IT- has implemented a cloud storage service on the basis of dCache.
The talk will describe architecture and service concepts.
German Cancio Melia
(CERN)
22/05/2014, 11:35
Storage & Filesystems
In this talk, we will provide an update of bit-level preservation WG activities, notable on the ongoing work on a set of recommendations and on a model for estimating long-term (10-20-30 years) archiving cost outlooks.
