Reinforcement Learning-Assisted Cache Cleaning to Mitigate Long-Tail Latency in DM-SMR
Author:
Funder
National Science Foundation
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9585997/9586083/09586084.pdf?arnumber=9586084
Cited by 6 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. A Space-Grained Cleaning Method to Reduce Long-Tail Latency of DM-SMR Disks;ACM Transactions on Embedded Computing Systems;2024-03-18
2. Amphisbaena: A Novel Persistent Buffer Management Strategy to Improve SMR Disk Performance;Applied Sciences;2024-01-11
3. LaDy: Enabling L ocality- a ware D eduplication Technolog y on Shingled Magnetic Recording Drives;ACM Transactions on Embedded Computing Systems;2023-09-09
4. Region-based Flash Caching with Joint Latency and Lifetime Optimization in Hybrid SMR Storage Systems;2023 Design, Automation & Test in Europe Conference & Exhibition (DATE);2023-04
5. MAID-Q: Minimizing Tail Latency in Embedded Flash With SMR Disk via -Learning Model;IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems;2022-11
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