Abstract
A Hyperledger Fabric is a popular permissioned blockchain platform and has great commercial application prospects. However, the limited transaction throughput of Hyperledger Fabric hampers its performance, especially when transactions with concurrency conflicts are initiated. In this paper, we focus on transactions with concurrency conflicts and propose solutions to optimize the performance of Hyperledger Fabric. Firstly, we propose a novel method LMLS to improve the Write-Write Conflict. This method introduces a lock mechanism in the transaction flow to enable some conflicting transactions to be marked at the beginning of the transaction process. And indexes are added to conflicting transactions to optimize the storage of the ledger. Secondly, we propose a cache-based method to improve the Read-Write Conflict. The cache is used to speed up reading data, and a cache log is added to Hyperledger Fabric to ensure the data consistency. Extensive experiments demonstrate that the proposed novel methods can significantly increase transaction throughput in the case of concurrency conflicts, and maintain high efficiency in transactions without concurrency conflicts.
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