Accelerating block lifecycle on blockchain via hardware transactional memory

doi:10.1016/j.jpdc.2023.104779

科研成果详情

题名	Accelerating block lifecycle on blockchain via hardware transactional memory
作者	Li，Yue 1; Liu，Han 2; Gao，Jianbo 1,3; Zhang，Jiashuo 1; Guan，Zhi 4; Chen，Zhong 1
发表日期	2024-02-01
发表期刊	Journal of Parallel and Distributed Computing
ISSN/eISSN	0743-7315
卷号	184
摘要	The processing of block lifecycles is essential to the efficiency of a blockchain, which consists of four steps: creation, execution, consensus, and validation. The permissionless blockchain systems typically had very limited transaction throughput because of the performance bottleneck of consensus protocols. With recent advances in consensus protocols, the execution and validation of transactions have become the new performance bottleneck. We propose a novel framework, called FASTBLOCK, to speed up the execution and validation steps by introducing fine-grained concurrency. Our early design of FASTBLOCK supported three key modules: (1) a symbolic execution-based analyzer that automatically identifies minimal atomic sections in each transaction; (2) a concurrent execution step that executes possibly conflicting transactions in parallel using hardware transactional memory; (3) a concurrent validation step that introduces a happen-before relation to deterministically re-execute transactions. The improved FASTBLOCK presented in this article supports the nonce mechanism to schedule concurrent transactions from the same account. Moreover, we empirically study the impact of concurrency on Ethereum except for performance and shed light on potential optimizations of FASTBLOCK. Finally, we implemented FASTBLOCK and then evaluated the performance of FASTBLOCK. Our result shows that the FASTBLOCK outperforms state-of-art solutions significantly in performance: the execution step and validation step speed up to 3.0x and 2.3x on average over the original serial model, respectively, with eight concurrent threads. In addition, we evaluated the impact of the nonce mechanism, and the result shows that the performance loss caused by this mechanism is acceptable in practice.
关键词	Blockchain Concurrent execution Ethereum Hardware transaction memory Smart contract
DOI	10.1016/j.jpdc.2023.104779
URL	查看来源
语种	英语English
Scopus入藏号	2-s2.0-85173217716
引用统计
文献类型	期刊论文
条目标识符	https://repository.uic.edu.cn/handle/39GCC9TT/13445
专题	个人在本单位外知识产出
通讯作者	Gao，Jianbo
作者单位	1.School of Computer Science,Peking University,Beijing,China 2.Tsinghua University,Beijing,China 3.Peking University Chongqing Research Institute of Big Data,Chongqing,China 4.National Engineering Research Center for Software Engineering,Peking University,Beijing,China
推荐引用方式 GB/T 7714	Li，Yue,Liu，Han,Gao，Jianboet al. Accelerating block lifecycle on blockchain via hardware transactional memory[J]. Journal of Parallel and Distributed Computing, 2024, 184.
APA	Li，Yue, Liu，Han, Gao，Jianbo, Zhang，Jiashuo, Guan，Zhi, & Chen，Zhong. (2024). Accelerating block lifecycle on blockchain via hardware transactional memory. Journal of Parallel and Distributed Computing, 184.
MLA	Li，Yue,et al."Accelerating block lifecycle on blockchain via hardware transactional memory". Journal of Parallel and Distributed Computing 184(2024).