DINOMO: An Elastic, Scalable, High-Performance Key-Value Store for Disaggregated Persistent Memory (Extended Version)

Autor:	Lee, Sekwon, Ponnapalli, Soujanya, Singhal, Sharad, Aguilera, Marcos K., Keeton, Kimberly, Chidambaram, Vijay
Rok vydání:	2022
Předmět:	Computer Science - Distributed Parallel and Cluster Computing Computer Science - Databases
Druh dokumentu:	Working Paper
Popis:	We present Dinomo, a novel key-value store for disaggregated persistent memory (DPM). Dinomo is the first key-value store for DPM that simultaneously achieves high common-case performance, scalability, and lightweight online reconfiguration. We observe that previously proposed key-value stores for DPM had architectural limitations that prevent them from achieving all three goals simultaneously. Dinomo uses a novel combination of techniques such as ownership partitioning, disaggregated adaptive caching, selective replication, and lock-free and log-free indexing to achieve these goals. Compared to a state-of-the-art DPM key-value store, Dinomo achieves at least 3.8x better throughput on various workloads at scale and higher scalability, while providing fast reconfiguration. Comment: This is an extended version of the full paper to appear in PVLDB 15.13 (VLDB 2023)
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2209.08743 Zobrazit plný text záznamu View this record from Arxiv