Memory is the most contended and least elastic resource in datacenter servers today.
Applications can use only local memory—which may be scarce—even though memory …

This article is an eight-year retrospective on development priorities for RocksDB, a key-value
store developed at Facebook that targets large-scale distributed systems and that is …

Popular LSM-tree based key-value stores suffer from suboptimal and unpredictable
performance due to write amplification and write stalls that cause application performance to …

Recently, the log-structured merge-tree (LSM-tree) has been widely adopted for use in the
storage layer of modern NoSQL systems. Because of this, there have been a large number …

We present NoveLSM, a persistent LSM-based key-value storage system designed to
exploit non-volatile memories and deliver low latency and high throughput to applications …

In this paper, we show that all mainstream LSM-tree based key-value stores in the literature
and in industry are suboptimal with respect to how they trade off among the I/O costs of …

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 …

USENIX ATC '18 Technical Sessions | USENIX Sign In Conferences Attend Registration
Information Registration Discounts Students and Grants Venue, Hotel, and Travel Services …

LSM-based KV stores are designed to offer good write performance, by capturing client
writes in memory, and only later flushing them to storage. Writes are later compacted into a …