AKV: Agile Read-Efficiently Key-Value OLTP Engine for Non-Volatile Memory

Non-volatile memory (NVM), as an emergingstor age technology, offers several advantageous features for OLTP engines, including byte-addressability, high capacity, low energy consumption, and data persistence across power failures. Despite these benefits, the current mainstream OLTP engines still com...

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Vydáno v:IEEE transactions on knowledge and data engineering s. 1 - 14
Hlavní autoři: Liu, Shuai, Qin, Jianbin, Wang, Tianyu, Chen, Yuxing, Pan, Anqun, Mao, Rui, Qiu, Yuxuan, Onizuka, Makoto, Xiao, Chuan
Médium: Journal Article
Jazyk:angličtina
Vydáno: IEEE 2025
Témata:
Aerospace electronics
Concurrency control
Costs
Energy consumption
Engines
Indexes
Non-volatile memory
Nonvolatile memory
OLTP storage engine
Random access memory
Systems architecture
Throughput
transaction
ISSN:1041-4347, 1558-2191
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Shrnutí:Non-volatile memory (NVM), as an emergingstor age technology, offers several advantageous features for OLTP engines, including byte-addressability, high capacity, low energy consumption, and data persistence across power failures. Despite these benefits, the current mainstream OLTP engines still commonly adopt a hybrid architecture that deeply couples DRAM with NVM, which results in a complex system architecture and high recovery costs. In this paper, we aim to construct a highly available, stable, and recoverable OLTP engine that guarantees ACID properties through anagile system architecture. We introduce AKV (Agile Key-Value), an NVM-only OLTP storage engine designed to provide effective space utilization, high throughput, and fast failure recovery. AKV addresses the challenges of NVM space management, write redundancy, and concurrency control with two novel techniques: dual-version concurrency control and circular dual-version storage. Experimental results demonstrate that AKV achieves higher throughput (up to 69.7%) and faster recovery (up to 54×) compared to existing storage engines in most scenarios of the TPC-C benchmarks. Additionally, the codebase of AKV (4k+ lines) is more concise than that of SOTA OLTP engines like Zen (8k+ lines) and Falcon (11k+ lines). In addition, this study innovatively proposes a read abort optimization strategy based on dynamic version changes. The experimental results show that this strategy can significantly reduce the transaction abort rate of AKV in specific workload scenarios while maintaining stable system throughput, achieving a maximum reduction of up to 73% in the abort count.
ISSN:1041-4347
1558-2191
DOI:10.1109/TKDE.2025.3632295