LESS is More for I/O-Efficient Repairs in Erasure-Coded Storage
Keyun Cheng, Guodong Li, Xiaolu Li, Sihuang Hu, Patrick P. C. Lee
摘要
I/O efficiency is critical for erasure-coded repair performance in modern distributed storage. We propose LESS, a family of repair-friendly erasure code constructions that reduces both the amount of data accessed and the number of I/O seeks in single-block repairs, while ensuring balanced reductions across blocks. LESS layers multiple extended sub-stripes formed by widely deployed Reed-Solomon coding, and is configurable to balance the trade-off between the amount of data accessed and I/O seeks. Evaluation shows that LESS on HDFS reduces both single-block repair and full-node recovery times compared to state-of-the-art I/O-optimal erasure codes.
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- Exploiting Combined Locality for Wide-Stripe Erasure Coding in Distributed StorageYuchong Hu, Liangfeng Cheng, Qiaori Yao, Patrick P. C. Lee 等FAST 2021 · 被引用 88 次
- Practical Design Considerations for Wide Locally Recoverable Codes (LRCs)Saurabh Kadekodi, Shashwat Silas, David Clausen, Arif MerchantFAST 2023 · 被引用 55 次
- Balancing Repair Bandwidth and Sub-Packetization in Erasure-Coded Storage via Elastic TransformationKaicheng Tang, Keyun Cheng, Helen H. W. Chan, Xiaolu Li 等INFOCOM 2023 · 被引用 14 次
- Revisiting Network Coding for Warm Blob StorageChuang Gan, Yuchong Hu, Leyan Zhao, Xin Zhao 等FAST 2025 · 被引用 9 次
- ParaRC: Embracing Sub-Packetization for Repair Parallelization in MSR-Coded StorageXiaolu Li, Keyun Cheng, Kaicheng Tang, Patrick P. C. Lee 等FAST 2023
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