Dotori: A Key-Value SSD Based KV Store
Carl Duffy, Jaehoon Shim, Sang-Hoon Kim, Jin-Soo Kim
摘要
Key-value SSDs (KVSSDs) represent a major shift in the storage stack design, with numerous potential benefits. Despite this, their lack of native features critical to operation in real world scenarios hinders their adoption, and these benefits go unrealized. Moreover, simply adapting existing key-value stores to run on KVSSDs proves underwhelming, as KVSSDs operate at lower raw device performance when compared to modern block SSDs. This paper introduces Dotori. Dotori is a KVSSD based key-value store that provides much needed functionality in a KVSSD through an upper layer in the host, and takes advantage of the unique KVSSD interface to enable further gains in functionality and performance. At the core of Dotori is a novel B+tree design that is only practical when the underlying storage device is a KVSSD. We test Dotori with an enterprise grade KVSSD against state-of-the-art block SSD based key-value stores through a range of micro-benchmarks and real world workloads. Despite low KVSSD raw device performance, Dotori achieves superior performance to these block-device based key-value stores while also showing significant gains in other important metrics.
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引用它的顶会 Paper5
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- CAM: Asynchronous GPU-Initiated, CPU-Managed SSD Management for Batching Storage AccessZiyu Song, Jie Zhang, Jie Sun, Mo Sun 等ICDE 2025 · 被引用 4 次
- ArceKV: Towards Workload-driven LSM-compactions for Key-Value Store Under Dynamic WorkloadsJunfeng Liu, Haoxuan Xie, Siqiang LuoVLDB 2026
- Kirin: Efficient In-Storage Learned Compaction for LSM-Trees via System-Algorithm Co-DesignGuifeng Wang, Shengan Zheng, Penghao Sun, Jin Pu 等VLDB 2026
- Analysis and Evaluation of Using Microsecond-Latency Memory for In-Memory Indices and Caches in SSD-Based Key-Value StoresYosuke Bando, Akinobu Mita, Kazuhiro Hiwada, Shintaro Sano 等SIGMOD 2026
它引用的顶会 Paper6
- MatrixKV: Reducing Write Stalls and Write Amplification in LSM-tree Based KV Stores with Matrix Container in NVMTing Yao, Yiwen Zhang, Jiguang Wan, Qiu Cui 等USENIX ATC 2020 · 被引用 186 次
- SpanDB: A Fast, Cost-Effective LSM-tree Based KV Store on Hybrid StorageHao Chen, Chaoyi Ruan, Cheng Li, Xiaosong Ma 等FAST 2021 · 被引用 120 次
- PinK: High-speed In-storage Key-value Store with Bounded TailsJunsu Im, Jinwook Bae, Chanwoo Chung, Arvind 等USENIX ATC 2020 · 被引用 85 次
- Modernizing File System through In-Storage IndexingJinhyung Koo, Junsu Im, Jooyoung Song, Juhyung Park 等OSDI 2021 · 被引用 27 次
- Kvell+: Snapshot Isolation without SnapshotsBaptiste Lepers, Oana Balmau, Karan Gupta, Willy ZwaenepoelOSDI 2020 · 被引用 10 次
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