4.5 Article

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

Journal

ACM TRANSACTIONS ON INTERNET TECHNOLOGY
Volume 21, Issue 1, Pages -

Publisher

ASSOC COMPUTING MACHINERY
DOI: 10.1145/3395331

Keywords

Blockchain; supply chain; reputation assessment; C-PBFT

Funding

  1. National Natural Science Foundation of China [61672276, 61702277, 61902236, 61872219]
  2. Financial and Science Technology Plan Project of Xinjiang Production and Construction Corps [2020DB005]
  3. Youth Foundation of Shanghai Polytechnic University [EGD18XQD01]
  4. Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD) fund

Ask authors/readers for more resources

The integration of supply chain and blockchain shows promise in eliminating the bullwhip effect, with the C-PBFT consensus method effectively addressing consensus inefficiencies. By classifying nodes and conducting reputation assessment, credible primary peers are identified in clusters to tackle the challenge of complex transactions in the supply chain. Performance evaluation of C-PBFT in Fabric experiments demonstrates its effectiveness.
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.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available