Multi-version Indexing in Flash-based Key-Value Stores

TL;DR

This paper introduces SkimpyFTL, a multi-version key-value store optimized for flash SSDs, which leverages remap-on-write to efficiently manage multiple data versions, balancing memory use and lookup speed.

Contribution

The paper presents SkimpyFTL, a novel multi-version indexing approach integrated with flash translation layers, exploiting remap-on-write for improved performance and capacity management.

Findings

Efficient multi-version management leveraging flash SSD properties.

Tradeoff mechanism between memory capacity and lookup latency.

Enhanced concurrency and performance in key-value stores.

Abstract

Maintaining multiple versions of data is popular in key-value stores since it increases concurrency and improves performance. However, designing a multi-version key-value store entails several challenges, such as additional capacity for storing extra versions and an indexing mechanism for mapping versions of a key to their values. We present SkimpyFTL, a FTL-integrated multi-version key-value store that exploits the remap-on-write property of flash-based SSDs for multi-versioning and provides a tradeoff between memory capacity and lookup latency for indexing.