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FabricTCA: A two-level conflict avoidance approach to consortium blockchains

文献类型：期刊论文

作者Wu, Haibo1,2; Liu, Hui1,2; Zhang, Lili1,2; Sun, Yi1,3,4; Li, Jianhui1,2,5
刊名FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
出版日期2026
卷号174页码:18
关键词Consortium blockchain Transaction conflict Throughput Conflict detection Conflict avoidance
ISSN号0167-739X
DOI10.1016/j.future.2025.108029
英文摘要Consortium blockchain systems have been recognized as promising infrastructures for data sharing and collaboration among different organizations due to their trustless nature. However, performance bottlenecks have seriously hindered the applications of these systems in many practical scenarios, especially under high transaction volumes. This study identifies two critical factors affecting system performance: intra-block and interblock transaction conflicts. To address these issues, we present FabricTCA (Fabric Two-level Conflict Avoidance), a method that significantly improves system throughput by mitigating both transaction-level (intra-block) and block-level (inter-block) conflicts. To resolve intra-block transaction conflicts, we propose a scheduling strategy that detects and prevents conflicts by introducing a novel dependency chain data structure and defining the notion of dangerous structures. For inter-block transaction conflicts, we propose a conflicting transaction detection mechanism by constructing a cache during the early ordering service stage, in which detected conflicting transactions will be sent back to clients and resubmitted. Extensive experiments under multiple workload scenarios demonstrate that FabricTCA outperforms state-of-the-art consortium blockchains, such as Hyperledger Fabric (a.k.a. Fabric) and its multiple variants, in terms of throughput, transaction abort rate, transaction execution time, and space utilization. In particular, FabricTCA achieves a 9.51-fold increase in throughput and reduces space consumption by 88.27 % compared to Hyperledger Fabric, showcasing its superior performance. Additionally, FabricTCA demonstrates low storage occupation, strong robustness to attacks and high detection speed.
资助项目National Key Research and Development Program of China[2023YFB2703600] ; National Natural Science Foundation of China[72104229] ; International Partnership Program of the Chinese Academy of Sciences[241711KYSB20200023]
WOS研究方向Computer Science
语种英语
WOS记录号WOS:001543205600004
出版者ELSEVIER
源URL[http://119.78.100.204/handle/2XEOYT63/42002]  
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, Jianhui
作者单位1.Univ Chinese Acad Sci, Beijing 100864, Peoples R China
2.Chinese Acad Sci, Comp Network Informat Ctr, Beijing 100083, Peoples R China
3.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China
4.Shandong Univ Finance & Econ, Shandong Key Lab Blockchain Finance, Jinan 250014, Peoples R China
5.Nanjing Univ, Inst Space Earth Sci, Suzhou 215163, Peoples R China
推荐引用方式
GB/T 7714		 Wu, Haibo,Liu, Hui,Zhang, Lili,et al. FabricTCA: A two-level conflict avoidance approach to consortium blockchains[J]. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE,2026,174:18.
APA Wu, Haibo,Liu, Hui,Zhang, Lili,Sun, Yi,&Li, Jianhui.(2026).FabricTCA: A two-level conflict avoidance approach to consortium blockchains.FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE,174,18.
MLA Wu, Haibo,et al."FabricTCA: A two-level conflict avoidance approach to consortium blockchains".FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE 174(2026):18.

入库方式： OAI收割

来源：计算技术研究所

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