Transaction Spatio-Temporal Distribution for Permissioned Blockchain Performance Profiling

doi:10.1002/cpe.70316

CSpace

	Transaction Spatio-Temporal Distribution for Permissioned Blockchain Performance Profiling
	Mao, Jianhuan 1,2; Zhu, Mengxiao 3; Sun, Yi 4; Li, Lei 2; Zhu, Haogang 2,5
	2025-12-25
发表期刊	CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
ISSN	1532-0626
卷号	37 期号:27-28 页码:13
摘要	Blockchain systems, characterized by decentralization, irreversibility, and traceability, have attracted widespread adoption across security-critical domains. However, the discrepancy between claimed and observed performance metrics poses significant challenges for system selection and reliability assurance. Particularly, in multi-layer blockchain architectures with complex inter-node interactions, pinpointing abnormal nodes or malfunctioning stages remains a non-trivial task. While macroscopic metrics, such as transactions per second (TPS) and average latency are essential for measuring system capacity, they lack the granularity to capture fine-grained operational anomalies. To complement these metrics and provide a new diagnostic dimension, we propose a novel metric system grounded in the spatio-temporal transition of transaction states, introducing three complementary indicators: overall spatio-temporal transition cost, spatial transition cost, and temporal transition cost. These metrics characterize system-wide behavior and enable anomaly detection at both the node and stage levels. We further develop a log-driven analysis framework that leverages these metrics for anomaly localization and root cause inference. Our system is implemented atop ChainMaker, deployed over 16 containerized nodes using Docker and Kubernetes. Experimental results demonstrate that our proposed metrics exhibit strong stability, sensitivity, and precision in detecting abnormal behaviors under varied execution conditions. These results validate the effectiveness of our methodology in providing fine-grained insights into the performance reliability of blockchain systems.
关键词	anomaly detection blockchain performance evaluation spatio-temporal analysis
DOI	10.1002/cpe.70316
收录类别	SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Software Engineering ; Computer Science, Theory & Methods
WOS记录号	WOS:001624343100020
出版者	WILEY
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/43090
专题	中国科学院计算技术研究所
通讯作者	Li, Lei
作者单位	1.State Key Lab Complex Crit Software Environm, Beijing, Peoples R China 2.Zhongguancun Lab, Beijing, Peoples R China 3.North China Univ Technol, Beijing, Peoples R China 4.Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China 5.Beihang Univ, Hangzhou Int Innovat Inst, Hangzhou, Peoples R China
推荐引用方式 GB/T 7714	Mao, Jianhuan,Zhu, Mengxiao,Sun, Yi,et al. Transaction Spatio-Temporal Distribution for Permissioned Blockchain Performance Profiling[J]. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE,2025,37(27-28):13.
APA	Mao, Jianhuan,Zhu, Mengxiao,Sun, Yi,Li, Lei,&Zhu, Haogang.(2025).Transaction Spatio-Temporal Distribution for Permissioned Blockchain Performance Profiling.CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE,37(27-28),13.
MLA	Mao, Jianhuan,et al."Transaction Spatio-Temporal Distribution for Permissioned Blockchain Performance Profiling".CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE 37.27-28(2025):13.