Research on Optimal Design of Blockchain Network Task Allocation Based on Improved Clustering Algorithm

The state of the database is decentralized, and any member node in the overlay blockchain network is allowed to participate in the state maintenance without authentication. Through the clustering analysis of blockchain data, the storage space of data is reduced and the mining accuracy of data is improved. In this paper, an optimization method of blockchain network task allocation based on improved clustering algorithm is proposed to realize data clustering optimization and ensure the safe production of mobile blockchain. Determine a screening index of nodes with cluster in a blockchain; According to the index, the eigenvalue of each node to be clustered is calculated; According to the eigenvalues of each node to be clustered, machine learning is used to circularly cluster the nodes to be clustered, and the target node is determined, so as to realize data clustering optimization and ensure the safe generation of mobile blockchain. The research results show that the peak fusion degree of blockchain data clustering with this method is good, the convergence is strong, and the misclassification rate of data clustering is low, which improves the convergence control ability of data clustering. After using the improved clustering method, the average execution time of tasks on the terminal is reduced by about 43.739%. Applying the clustering algorithm to the optimization of task allocation in blockchain network can shorten the scheduling time of tasks and the execution time of tasks on virtual resources, so that the system can meet the needs of users as soon as possible.