Concurrent Practical Byzantine Fault Tolerance for Integration of Blockchain and Supply Chain

被引：63

作者：

Xu, Xiaolong ^{[1
,2
,3
,4
]}

Zhu, Dawei ^{[1
]}

Yang, Xiaoxian ^{[5
]}

Wang, Shuo ^{[1
]}

Qi, Lianyong ^{[6
]}

Dou, Wanchun ^{[7
]}

机构：

[1] Nanjing Univ Informat Sci & Technol, Sch Comp & Software, 219 Ningliu Rd, Nanjing 210044, Peoples R China

[2] Nanjing Univ Informat Sci & Technol, Jiangsu Key Lab Big Data Anal Technol, Nanjing, Peoples R China

[3] Minist Educ, Engn Res Ctr Digital Forens, Nanjing, Peoples R China

[4] Nanjing Univ Informat Sci & Technol, Jiangsu Collaborat Innovat Ctr Atmospher Environm, Nanjing, Peoples R China

[5] Shanghai Polytech Univ, Sch Comp & Informat Engn, 2360 Jinhai Rd, Shanghai 201209, Peoples R China

[6] Qufu Normal Univ, Sch Informat Sci & Engn, 80 Yantai North Rd, Rizhao 276826, Peoples R China

[7] Nanjing Univ, State Key Lab Novel Software Technol, 163 Xianlin Ave, Nanjing 210023, Peoples R China

来源：

ACM TRANSACTIONS ON INTERNET TECHNOLOGY | 2021年 / 21卷 / 01期

基金：

中国国家自然科学基金;

关键词：

Blockchain; supply chain; reputation assessment; C-PBFT; INCENTIVE MECHANISM; SYSTEM; FRAMEWORK; MODEL;

D O I：

10.1145/3395331

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Currently, the integration of the supply chain and blockchain is promising, as blockchain successfully eliminates the bullwhip effect in the supply chain. Generally, concurrent Practical Byzantine Fault Tolerance (PBFT) consensus method, named C-PBFT, is powerful to deal with the consensus inefficiencies, caused by the fast node expansion in the supply chain. However, due to the tremendous complicated transactions in the supply chain, it remains challenging to select the credible primary peers in the concurrent clusters. To address this challenge, the peers in the supply chain are classified into several clusters by analyzing the historic transactions in the ledger. Then, the primary peer for each cluster is identified by reputation assessment. Finally, the performance of C-PBFT is evaluated by conducting experiments in Fabric.

引用

页数：17

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