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Blockchain Bottleneck Analysis Based on Performance Metrics Causality

文献类型：期刊论文

作者Song, Weihu1,2; Zhu, Mengxiao3; Lu, Dong1; Zhu, Chen1; Zhao, Jiejie2; Sun, Yi4; Li, Lei2; Zhu, Haogang1,2,5
刊名ELECTRONICS
出版日期2024-11-01
卷号13期号:21页码:15
关键词blockchain consortium causal inference bottleneck analysis
DOI10.3390/electronics13214236
英文摘要With the widespread application of blockchain technology across various industries, detecting and analyzing performance bottlenecks is crucial for evaluating and optimizing blockchain system performance. However, current research needs general performance metrics for detecting and analyzing bottlenecks. Only some studies focus on this aspect within blockchain systems. To address this, this paper first proposes 18 fine-grained performance metrics to evaluate performance across various layers of blockchain systems comprehensively. Subsequently, we introduce a generalized loosely coupled performance measurement framework to capture these metrics and construct the causal relationship between them, i.e., the mesoscopic performance structure. This approach allows for the detection and analysis of performance bottlenecks. Finally, numerous experimental results demonstrate that the causality between the relevant performance metrics disappears when the system reaches a performance bottleneck. Additionally, the framework has a performance impact of less than 15% on ChainMaker.
资助项目National Key Research and Development Program of China ; [2021YFB2700300]
WOS研究方向Computer Science ; Engineering ; Physics
语种英语
WOS记录号WOS:001351281900001
出版者MDPI
源URL[http://119.78.100.204/handle/2XEOYT63/39471]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Li, Lei; Zhu, Haogang
作者单位1.Beihang Univ, State Key Lab Complex & Crit Software Environm, Beijing 100191, Peoples R China
2.Zhongguancun Lab, Beijing 100086, Peoples R China
3.North China Univ Technol, Sch Informat Sci & Technol, Beijing 100144, Peoples R China
4.Chinese Acad Sci, Inst Comp Technol, Beijing 100045, Peoples R China
5.Beihang Univ, Inst Artificial Intelligence, Beijing Adv Innovat Ctr Future Blockchain & Privac, Beijing 100191, Peoples R China
推荐引用方式
GB/T 7714		 Song, Weihu,Zhu, Mengxiao,Lu, Dong,et al. Blockchain Bottleneck Analysis Based on Performance Metrics Causality[J]. ELECTRONICS,2024,13(21):15.
APA Song, Weihu.,Zhu, Mengxiao.,Lu, Dong.,Zhu, Chen.,Zhao, Jiejie.,...&Zhu, Haogang.(2024).Blockchain Bottleneck Analysis Based on Performance Metrics Causality.ELECTRONICS,13(21),15.
MLA Song, Weihu,et al."Blockchain Bottleneck Analysis Based on Performance Metrics Causality".ELECTRONICS 13.21(2024):15.

入库方式： OAI收割

来源：计算技术研究所

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