Jan 29 – 31, 2018
AGH Computer Science Building D-17
Europe/Zurich timezone


Scalable Storage Backends for Cloud and HPC: Foundations

Jan 30, 2018, 10:50 AM
AGH Computer Science Building D-17

AGH Computer Science Building D-17

AGH WIET, Department of Computer Science, Building D-17, Street Kawiory 21, Krakow


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

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