IONIA: High-Performance Replication for Modern Disk-based KV Stores


Yi Xu, University of California, Berkeley; Henry Zhu, University of Illinois Urbana-Champaign; Prashant Pandey, University of Utah; Alex Conway, Cornell Tech and VMware Research; Rob Johnson, VMware Research; Aishwarya Ganesan and Ramnatthan Alagappan, University of Illinois Urbana-Champaign and VMware Research


We introduce IONIA, a novel replication protocol tailored for modern SSD-based write-optimized key-value (WO-KV) stores. Unlike existing replication approaches, IONIA carefully exploits the unique characteristics of SSD-based WO-KV stores. First, it exploits their interface characteristics to defer parallel execution to the background, enabling high-throughput yet one round trip (RTT) writes. IONIA also exploits SSD-based KV-stores’ performance characteristics to scalably read at any replica without enforcing writes to all replicas, thus providing scalability without compromising write availability; further, it does so while completing most reads in 1RTT. IONIA is the first protocol to achieve these properties, and it does so through its storage-aware design. We evaluate IONIA extensively to show that it achieves the above properties under a variety of workloads.

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@inproceedings {294801,
author = {Yi Xu and Henry Zhu and Prashant Pandey and Alex Conway and Rob Johnson and Aishwarya Ganesan and Ramnatthan Alagappan},
title = {{IONIA}: {High-Performance} Replication for Modern Disk-based {KV} Stores},
booktitle = {22nd USENIX Conference on File and Storage Technologies (FAST 24)},
year = {2024},
isbn = {978-1-939133-38-0},
address = {Santa Clara, CA},
pages = {225--241},
url = {},
publisher = {USENIX Association},
month = feb

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