Modern block-addressable NVMe SSDs provide much higher bandwidth and similar
performance for random and sequential access. Persistent key-value stores (KVs) designed …

This paper investigates how to leverage emerging byte-addressable persistent memory
(PM) to enhance the performance of key-value (KV) stores. We present a novel KV store, the …

Key-value store based on a log-structured merge-tree (LSM-tree) is preferable to hash-
based KV store because an LSM-tree can support a wider variety of operations and show …

We present TRIAD, a new persistent key-value (KV) store based on Log-Structured Merge
(LSM) trees. TRIAD improves LSM KV throughput by reducing the write amplification arising …

Key-value stores (KVSs) have found wide application in modern software systems. For
persistence, their data resides in slow secondary storage, which requires KVSs to employ …

Key-Value (KV) stores support many crucial applications and services. They perform fast in-
memory processing, but are still often limited by I/O performance. The recent emergence of …

Key-value stores are widely used as storage backends, due to their simple, yet flexible
interface for cache, storage, file system, and database systems. However, when used with …

Key-Value (KV) stores are an integral building block in modern datacenter applications. With
byteaddressable persistent memory (PM) technologies, such as Intel/Micron's 3D XPoint, on …

MICA is a scalable in-memory key-value store that handles 65.6 to 76.9 million key-value
operations per second using a single general-purpose multi-core system. MICA is over 4 …

The emergence of Intel's Optane DC persistent memory (Optane Pmem) draws much
interest in building persistent key-value (KV) stores to take advantage of its high throughput …