Research on multi-chain blockchain consensus mechanism model under cloud computing platform

This paper combines the advantages of cloud computing platform in resource scheduling, proposes a consensus mechanism model for multi-chain blockchain, and designs corresponding algorithms, aiming to optimize the overall performance of the system and the efficiency of cross-chain communication. The model achieves efficient communication and load balancing between chains by introducing the distributed resource scheduling scheme of cloud computing. In terms of consensus mechanism, this paper uses a dynamic adjustment strategy based on cloud computing resources to improve the throughput and consensus speed of the system. This paper conducts detailed simulation tests to verify the effectiveness of the model. The test results show that under different loads, the system shows significant improvements in consensus delay, resource utilization and cross-chain communication success rate. Especially under high load, the system throughput is increased by about 20%, the consensus delay is reduced by 15%, and the cross-chain communication success rate is increased by 10%. These data show that the model proposed in this paper can effectively use the resources of the cloud computing platform to provide more flexible resource scheduling and cross-chain communication support while improving the performance of the multi-chain blockchain system.