A High-Performance Persistent Memory Key-Value Store with Near-Memory Compute
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by
Daniel Waddington, Clem Dickey, Luna Xu, Moshik Hershcovitch, Sangeetha Seshadri
2021
Abstract
MCAS (Memory Centric Active Storage) is a persistent memory tier for
high-performance durable data storage. It is designed from the ground-up to
provide a key-value capability with low-latency guarantees and data durability
through memory persistence and replication. To reduce data movement and make
further gains in performance, we provide support for user-defined "push-down"
operations (known as Active Data Objects) that can execute directly and safely
on the value-memory associated with one or more keys. The ADO mechanism allows
complex pointer-based dynamic data structures (e.g., trees) to be stored and
operated on in persistent memory. To this end, we examine a real-world use case
for MCAS-ADO in the handling of enterprise storage system metadata for
Continuous Data Protection (CDP). This requires continuously updating complex
metadata that must be kept consistent and durable. In this paper, we i.)
present the MCAS-ADO system architecture, ii.) show how the CDP use case is
implemented, and finally iii.) give an evaluation of system performance in the
context of this use case.
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