首页|动态均衡算法对电力数据吞吐优化的研究

动态均衡算法对电力数据吞吐优化的研究

扫码查看
为了解决DPOS共识算法(Delegated Proof of Stake,股份授权证明机制)吞吐性能不足的问题,本文提出加权指标动态均衡算法(DPOS with weighted Index Dynamically Balanc-ing,DPOS+IDB)。该算法首先利用区块链的通道机制,将带有不同标签的交易分配到不同的区块链通道中。然后对每一个区块链通道,分别进程参数配置优化。最终,将参数配置优化问题,转化为对多个指标求解整体最优解问题。通过优化参数配置,提高区块链通道的吞吐性能。由于求解过程中,需要在多个指标可行范围内进搜索,求解空间过大。为此,设计动态均衡搜索算法进行求解,利用求解的结果对区块链网络进行优化配置,提高提高区块链网络的性能。仿真表明,对比原始DPOS算法、CE-DPOS(Comprehensive Election-DPOS,综合选举)算法和RC-DPOS(Reputation Classification-DPOS,名誉分级)算法,DPOS+IDB算法在时延、吞吐率有较好的性能表现,并且通讯开销的复杂度由节点数量的平方降低至节点数量的一次方。
Research on throughput optimization of power data based on dynamic balancing algorithm
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.

BlockchainDPOSPerformance optimizationDynamically balancing algorithm

刘雨杉、李英娜、陈志祥、李进成、付国庆

展开 >

昆明理工大学信息工程与自动化学院 云南省人工智能重点实验室,昆明 650500

区块链 DPOS 性能优化 动态均衡算法

云南省重大科技专项计划

202302AD080002

2024

四川大学学报(自然科学版)
四川大学

四川大学学报(自然科学版)

CSTPCD北大核心
影响因子:0.358
ISSN:0490-6756
年,卷(期):2024.61(4)
  • 8