Description
Format: oral presentations, 20 minutes + 5 minutes QA
High-performance and cost-effective storage solutions are important to scale up and evolve synchronization services.
The separation between the storage backend used for offering sync&share services and the ones for analytics is usually not desirable. This separation prevents the users to easily share algorithms and results; it also complicates data correlation and full-statistics access; ultimately hardware resources are not optimally used and managed.
This track focuses on the lower layer of the stack: storage foundations.
In the storage track we call for contributions from innovative storage providers. Interesting storage systems should promote seamless integration with synchronization infrastructures. They should scale above many thousands of clients and have multi-PB storage capacity. To allow federating distinct storage resources, multi-site capabilities are quite important; cache capabilities to improve user experience and system resilience are also interesting
iRODS is Open Source Data Management that can be deployed seamlessly onto your existing infrastructure, creating a unified namespace, and a metadata catalog of all the data objects, storage, and users on your system. iRODS allows access to distributed storage assets under the unified namespace and frees organizations from getting locked into single-vendor storage solutions. iRODS can...
The purpose of the presentation we’ll propose during the CS3 conference in Krakow is to highlight the technological features of Cynny Space’s cloud object storage solution and the results of performance and usability for a sync & share use case.
1) Software specifically designed for ARM® architecture
The object storage solution is specifically designed and developed on storage nodes composed...
Over two years Data-Cloud team at DESY uses dCache as a backend storage for the ownCloud instance used in a production. As being a highly scalable storage system, dCache is widely used by many sites to store hundreds of petabytes of scientific data. However, the cloud-backend usage scenarios have added new requirements, like high availability and downtime less updates any software or hardware...
EOS, the high-performance CERN IT distributed storage for High-Energy Physics provides now more than 250PB of raw disks and supports several work-flows from LHC data-taking and reconstruction to physics analysis.
The software is developed at CERN since 2010, is available under GPL license and it is also used in several external institutes and organisations.
EOS is the key component behind the...
Onedata is a complete high-performance storage solution that unifies data access across globally distributed environments and multiple types of underlying storages, such as NFS, Lustre, GPFS, Amazon S3, CEPH, as well as other POSIX-compliant file systems. It allows users to share, collaborate and perform computations on their data.
Globally Onedata comprises of: Onezones, distributed...
