Hybrid storage management for database systems

Author:

Liu Xin1,Salem Kenneth1

Affiliation:

1. University of Waterloo, Canada

Abstract

The use of flash-based solid state drives (SSDs) in storage systems is growing. Adding SSDs to a storage system not only raises the question of how to manage the SSDs, but also raises the question of whether current buffer pool algorithms will still work effectively. We are interested in the use of hybrid storage systems, consisting of SSDs and hard disk drives (HDDs), for database management. We present cost-aware replacement algorithms, which are aware of the difference in performance between SSDs and HDDs, for both the DBMS buffer pool and the SSDs. In hybrid storage systems, the physical access pattern to the SSDs depends on the management of the DBMS buffer pool. We studied the impact of buffer pool caching policies on SSD access patterns. Based on these studies, we designed a cost-adjusted caching policy to effectively manage the SSD. We implemented these algorithms in MySQL's InnoDB storage engine and used the TPC-C workload to demonstrate that these cost-aware algorithms outperform previous algorithms.

Publisher

VLDB Endowment

Subject

General Earth and Planetary Sciences,Water Science and Technology,Geography, Planning and Development

Cited by 23 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Cache eviction for SSD-HDD hybrid storage based on sequential packing;Journal of Systems Architecture;2023-08

2. Serving deep learning models with deduplication from relational databases;Proceedings of the VLDB Endowment;2022-06

3. Building a Fast and Efficient LSM-tree Store by Integrating Local Storage with Cloud Storage;ACM Transactions on Architecture and Code Optimization;2022-05-25

4. An Extended SSD-Based Cache for Efficient Object Store Access in SAP IQ;2022 IEEE 38th International Conference on Data Engineering (ICDE);2022-05

5. Building A Fast and Efficient LSM-tree Store by Integrating Local Storage with Cloud Storage;2021 IEEE International Conference on Cluster Computing (CLUSTER);2021-09

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