摘要
面对海量数据和高并发访问的挑战,提出基于云容器的数据库分布式存储Apriori优化方法。使用Apriori优化算法遍历电力数据库的事务项,计算每个项的支持度,并结合预设最小支持度确定最小频度,挖掘容器化开源数据库中电力数据的关联性。基于挖掘结果建立分布式云容器存储体系,通过Operator实现数据库管理,结合StatefulSet控制器创建云容器集群,通过Logistic混沌映射实现数据加密以抵抗攻击,并结合云容器实现分布式存储。实验结果表明,该方法在450 s时达到最大吞吐量512 Mbit/s,且当字长为180 bits时存储单元最多,确保同一集群的不同节点不会部署在同一物理节点上,具备快速部署、敏捷伸缩的能力。
Faced with the challenges of massive data and high concurrency access,an Apriori optimization method for distributed database storage based on cloud container is proposed.Using Apriori optimization algorithm to traverse the power transaction items in the power database,calculate the support degree of each item,and determine the minimum frequency based on the preset minimum support degree,mining the correlation of containerized open source databases.Establish a distributed cloud container storage system based on mining results,implement database management through Operator,create cloud container clusters with StatefulSet controllers,implement data encryption to resist attacks through Logistic chaotic mapping,and implement distributed storage with cloud containers.The experiment shows that this method achieves a maximum throughput of 512 Mbit/s at 450 s,and the maximum number of storage units is achieved when the word length is 180 bits.Ensure that different nodes in the same cluster are not deployed on the same physical node,and have the ability to deploy quickly and scale agilely.
作者
王凌
黎俊杰
邹昊东
WANG Ling;LI Junjie;ZOU Haodong(Information and Telecommunication Branch,State Grid Jiangsu Electric Power Co.,Ltd.,Nanjing 210024,China;State Grid Electric Power Research Institute Co.,Ltd.,Nanjing 210000,China)
出处
《电子设计工程》
2025年第20期182-185,190,共5页
Electronic Design Engineering
基金
国家电网有限公司科技项目(5700-202318307A-1-1-ZN)。
