Systems-Facing Track, Sep 2024

On-Premises Storage Solutions and Growth Projection in Research Computing
Derick Thomas Haigh, HPC Operations Engineer, Penn State Institution for Computational and Data Sciences.

Research storage has historically been dominated by on-premises parallel storage systems, however the last decade has seen this dominance disrupted. Cloud storage is now entrenched in the research world, and while the high-cost of these services are now more understood – the expectations of the features available through cloud storage vendors, such as scalability, multi-protocol support, and growth forecasting, are being transferred onto on-premises research storage systems.

This presentation will cover the on-premises storage solutions chosen by Penn State, the factors that led them to select these solutions (such as performance, scalability, and cost-effectiveness), and the approaches necessary for planning future storage capacity. A case study will be shared, covering a scalable, high-performance storage solution that supports both current demands and projected growth.

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