四川大学学报（自然科学版）2024，Vol.61Issue(4)：155-162,8.DOI:10.19907/j.0490-6756.2024.042007
动态均衡算法对电力数据吞吐优化的研究
Research on throughput optimization of power data based on dynamic balancing algorithm
摘要
Abstract
In order to solve the problem of insufficient throughput performance of DPOS consensus algorithm This thesis proposes an algorithm called DPOS+IDB(DPOS with weighted Index Dynamically Balancing).The algorithm first uses the channel mechanism of blockchain to assign transactions with different labels to dif-ferent blockchain channels.Then,for each blockchain channel,the process parameters were configured and optimized.Finally,the parameter configuration optimization problem was transformed into the problem of solving the overall optimal solution for multiple indicators.The throughput performance of the blockchain channel is improved by optimizing the parameter configuration.In the process of solving,it is necessary to search in the feasible range of multiple indicators,and the solution space is too large.Therefore,the weighted index dynamically balancing algorithm is designed to solve the problem,and the solution results are used to optimize the configuration of the blockchain network to improve the performance of the blockchain network.Simulation results show that compared with the original DPOS algorithm,CE-DPOS(Comprehensive Election-DPOS)algorithm and RC-DPOS(Reputation Classification-DPOS)algorithm,DPOS+IDB algo-rithm has better performance in delay and throughput,and the complexity of communication overhead is re-duced from the square of the number of nodes to the first power of the number of nodes.关键词
区块链/DPOS/性能优化/动态均衡算法Key words
Blockchain/DPOS/Performance optimization/Dynamically balancing algorithm分类
信息技术与安全科学引用本文复制引用
刘雨杉,李英娜,陈志祥,李进成,付国庆..动态均衡算法对电力数据吞吐优化的研究[J].四川大学学报（自然科学版）,2024,61(4):155-162,8.基金项目
云南省重大科技专项计划(202302AD080002) （202302AD080002）
