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arXiv · 2103.00007

An Architecture for Memory Centric Active Storage (MCAS)

Daniel Waddington·Clem Dickey·Moshik Hershcovitch·Sangeetha Seshadri
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Abstract

The advent of CPU-attached persistent memory technology, such as Intel's Optane Persistent Memory Modules (PMM), has brought with it new opportunities for storage. In 2018, IBM Research Almaden began investigating and developing a new enterprise-grade storage solution directly aimed at this emerging technology. MCAS (Memory Centric Active Storage) defines an evolved network-attached key-value store that offers both near-data compute and the ability to layer enterprise-grade data management services on shared persistent memory. As a converged memory-storage tier, MCAS moves towards eliminating the traditional separation of compute and storage, and thereby unifying the data space. This paper provides an in-depth review of the MCAS architecture and implementation, as well as general performance results.

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Daniel Waddington, Clem Dickey, Moshik Hershcovitch, Sangeetha Seshadri. 2021-02-26. An Architecture for Memory Centric Active Storage (MCAS). https://arxiv.org/abs/2103.00007

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