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Computational Storage Architecture Simplification and Evolution

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Computational Storage continues to gain interest and momentum as standards that underpin the technology mature. Developers are realizing that moving compute closer to the data is a logical solution to the ever-increasing storage capacities. Data-driven applications that benefit from database searches, data manipulation, and machine learning can perform better and be more scalable if developers add computation directly to storage.

The Perspective of Today’s Storage Architectures, Viewed Through a Long Lens

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Two veterans of the storage industry discuss the impact of hardware innovation to the common deployment methods used in SDS.

At scale, embedded storage solutions fall away in favor of distributed approaches that encapsulate and aggregate the many previous steps taken, bringing us to the common SDS methods we use today. The session speakers were present for many of these baby-steps and major milestones, providing a unique perspective to our current “state of the art.”

Security Landscape

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Security, unlike most technologies, is driven by changes to the threat landscape as well as the legal/regulatory responses. This BoF provides a forum to explore recent and anticipated developments. It may also serve as a forum to further explore details from the various SDC security and data protection sessions.

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