NV-Tree: Reducing Consistency Cost for NVM-based Single Level Systems
The non-volatile memory (NVM) has DRAM-like performance and disk-like persistency which make it possible to replace both disk and DRAM to build single level systems. To keep data consistency in such systems is non-trivial because memory writes may be reordered by CPU and memory controller. In this paper, we study the consistency cost for an important and common data structure, B+Tree. Although the memory fence and CPU cacheline flush instructions can order memory writes to achieve data consistency, they introduce a significant overhead (more than 10X slower in performance). Based on our quantitative analysis of consistency cost, we propose NV-Tree, a consistent and cache-optimized B+Tree variant with reduced CPU cacheline flush. We implement and evaluate NV-Tree and NV-Store, a key-value store based on NV-Tree, on an NVDIMM server. NVTree outperforms the state-of-art consistent tree structures by up to 12X under write-intensive workloads. NV-Store increases the throughput by up to 4.8X under YCSB workloads compared to Redis.
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