Rethinking key-value store for byte-addressable optane persistent memory
Sung-Ming Wu, Li-Pin Chang
摘要
Optane Persistent Memory (PM) is a pioneering solution to byte-addressable PM for commodity systems. However, the performance of Optane PM is highly workload-sensitive, rendering many prior designs of Key-Value (KV) store inefficient. To cope with this reality, we advocate rethinking KV store design for Optane PM. Our design follows a principle of Single-stream Writing with managed Multi-stream Reading (SWMR): Incoming KV pairs are written to PM through a single write stream and managed by an ordered index in DRAM. Through asynchronously sorting and rewriting large sets of KV pairs, range queries are handled with a managed number of concurrent streams. YCSB results show that our design improved upon existing ones by 116% and 21% for write-only throughput and read-write throughput, respectively.
问问这篇 Paper
问问你的智能体。
Lune 读过与它相关的顶会 Paper,每个回答都会注明依据哪几篇。
引用它的顶会 Paper1
问问它们各自怎么用它相关 Paper
- Evaluating Persistent Memory Range Indexes: Part TwoYuliang He, Duo Lu, Kaisong Huang, Tianzheng WangVLDB 2022 · 被引用 26 次
- ChameleonDB: a key-value store for optane persistent memoryWenhui Zhang, Xingsheng Zhao, Song Jiang, Hong JiangEuroSys 2021 · 被引用 72 次
- Viper: An Efficient Hybrid PMem-DRAM Key-Value StoreLawrence Benson, Hendrik Makait, Tilmann RablVLDB 2021 · 被引用 86 次
- Redesigning High-Performance LSM-based Key-Value Stores with Persistent CPU CachesYijie Zhong, Zhirong Shen, Zixiang Yu, Jiwu ShuICDE 2023 · 被引用 8 次
- FlatStore: An Efficient Log-Structured Key-Value Storage Engine for Persistent MemoryYoumin Chen, Youyou Lu, Fan Yang, Qing Wang 等ASPLOS 2020 · 被引用 166 次
