Enhancing Scalability of Trusted Blockchains through Optimal Sharding

Sharding technology has been rapidly developed to improve blockchain scalability in recent years. However, in practical applications, a blockchain sharding system may face such issues as malicious node attacks and large cross-shard communications. An optimization method is thus demanded to improve their sharding performance. Based on the status and behavioral data of shard nodes stored in a trusted blockchain, can node trust be calculated and used to improve a sharding-based blockchain’s security? To answer this question, this work presents a sharding model to optimize fault tolerance ratio, the number of cross-shard transactions, and shard trust. Its application to a blockchain system can help it improve the credibility of its shard transaction processing and reduce its transaction delay, thereby enhancing the scalability of over the state of the art. Some open issues are discussed.