29-31 January 2018
AGH Computer Science Building D-17
Europe/Zurich timezone

Session

Scalable Storage Backends for Cloud and HPC: Integration

31 Jan 2018, 12:00
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

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 upper layer of the stack: efficient integration of storage into sync&share environment.

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