Today, storage and memory hierarchies are manually tuned and sized at design time. But tomorrow’s workloads are increasingly dynamic, multi-tenant and variable. It just simply is not possible to build truly autonomous storage systems that can adapt to changing application workloads with today’s methods. In this session, we demonstrate recent breakthroughs in autonomous storage systems research including how traditional real-time approaches have not been able to succeed up to now. Attendees will be able to see results from the latest research and development and learn: Why static memory hierarchies leave so much performance on the floor. What is needed to design and implement a fully autonomous storage hierarchy and how does it automatically adapt to changing application workloads. How to achieve efficiency, QoS, performance SLAs/SLOs, and manage cost tradeoffs that are needed for fully autonomous caches.
The Path to Autonomous Storage is Broken
- Why static memory hierarchies leave so much performance on the floor.
- What is needed to design and implement a fully autonomous storage hierarchy and how does it automatically adapt to changing application workloads.
- How to achieve efficiency, QoS, performance SLAs/SLOs, and manage cost tradeoffs that are needed for fully autonomous caches.
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SNIA Developer Conference
September 15-17, 2025
SDC 2025 is brought to you by SNIA. SNIA is an industry association committed to its mission of worldwide leadership developing and promoting architectures, standards, education and vendor-neutral collaboration.
