Persistent key-value stores are widely used as building blocks in today's IT infrastructure for
managing and storing large amounts of data. However, studies of characterizing real-world …

We present OpenLambda, a new, open-source platform for building next-generation web
services and applications in the burgeoningmodel of serverless computation. We describe …

Key-value stores such as LevelDB and RocksDB offer excellent write throughput, but suffer
high write amplification. The write amplification problem is due to the Log-Structured Merge …

Byte-addressable persistent memory (PM) brings hash tables the potential of low latency,
cheap persistence and instant recovery. The recent advent of Intel Optane DC Persistent …

As Solid-State Drives (SSDs) become commonplace in data-centers and storage arrays,
there is a growing demand for predictable latency. Traditional SSDs, serving block I/Os, fail …

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 …

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 …

Hybrid memory systems consisting of DRAM and Non-Volatile Memory are promising to
persist data fast. The index design of existing key-value stores for hybrid memory fails to …

In this paper, we show that key-value stores backed by an LSM-tree exhibit an intrinsic trade-
off between lookup cost, update cost, and main memory footprint, yet all existing designs …

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 …