Arctic: A Practical Lock-Free Adaptive Radix Tree
Newton Ni, Nicolas Garza, Jenny Stinehour, Michael Goppert, Michal Friedman, Emmett Witchel
摘要
Indexing data structures are vital to the modern systems ecosystem, but there are no indexes that offer high performance, lock freedom, and range scans. Arctic is a lock-free adaptive radix tree that achieves all three: Arctic outcompetes lock-based indexes, including a concurrent hash map, on many YCSB configurations, guarantees non-blocking operation through careful metadata layout and an (eponymous) freezing-based coordination protocol, and offers non-linearizable range and prefix scans. Arctic also contributes a novel safe memory reclamation scheme that uses operation keys to approximate reachable pointers. We integrate Arctic into RocksDB and Turso, improving throughput up to 40% and 12% on their write-heavy benchmarks relative to their default skiplist indexes.
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它引用的顶会 Paper13
- Lessons Learned from the Chameleon TestbedKate Keahey, Jason Anderson, Zhuo Zhen, Pierre Riteau 等USENIX ATC 2020 · 被引用 398 次
- Sherman: A Write-Optimized Distributed B+Tree Index on Disaggregated MemoryQing Wang, Youyou Lu, Jiwu ShuSIGMOD 2022 · 被引用 99 次
- NBTree: a Lock-free PM-friendly Persistent B+-Tree for eADR-enabled PM SystemsBowen Zhang, Shengan Zheng, Zhenlin Qi, Linpeng HuangVLDB 2022 · 被引用 41 次
- SMART: A High-Performance Adaptive Radix Tree for Disaggregated MemoryXuchuan Luo, Pengfei Zuo, Jiacheng Shen, Jiazhen Gu 等OSDI 2023 · 被引用 21 次
- Snapshot-free, transparent, and robust memory reclamation for lock-free data structuresRuslan Nikolaev, Binoy RavindranPLDI 2021 · 被引用 18 次
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