Pipette: efficient fine-grained reads for SSDs
Shuhan Bai, Hu Wan, Yun Huang, Xuan Sun, Fei Wu, Changsheng Xie, Hung-Chih Hsieh, Tei-Wei Kuo, Chun Jason Xue
摘要
Big data applications, such as recommendation system and social network, often generate a huge number of fine-grained reads to the storage. Block-oriented storage devices tend to suffer from these fine-grained read operations in terms of I/O traffic as well as performance. Motivated by this challenge, a fine-grained read framework, Pipette, is proposed in this paper, as an extension to the traditional I/O framework. With an adaptive caching design, Pipette framework offers a tremendous reduction in I/O traffic as well as achieves significant performance gain. A Pipette prototype was implemented with Ext4 file system on an SSD for two real-world applications, where the I/O throughput is improved by 31.6% and 33.5%, and the I/O traffic is reduced by 95.6% and 93.6%, respectively.
问问这篇 Paper
智能体会读完全文。
Lune 把这篇 Paper 索引到了每一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。
它引用的顶会 Paper2
相关 Paper
- Rearchitecting Buffered I/O in the Era of High-Bandwidth SSDsYekang Zhan, Tianze Wang, Zheng Peng, Haichuan Hu 等FAST 2026
- FineRR-ZNS: Enabling Fine-Granularity Read Refreshing for ZNS SSDsJun Li, Zhibing Sha, Fan Yang, Xiaofei Xu 等DAC 2025 · 被引用 1 次
- GPU-Initiated On-Demand High-Throughput Storage Access in the BaM System ArchitectureZaid Qureshi, Vikram Sharma Mailthody, Isaac Gelado, Seungwon Min 等ASPLOS 2023 · 被引用 48 次
- ByteFS: System Support for (CXL-based) Memory-Semantic Solid-State DrivesShaobo Li, Yirui Eric Zhou, Hao Ren, Jian HuangASPLOS 2025 · 被引用 13 次
- Modernizing File System through In-Storage IndexingJinhyung Koo, Junsu Im, Jooyoung Song, Juhyung Park 等OSDI 2021 · 被引用 27 次
