基于一致性Hash的电力企业MDS集群高质量元数据管理模型

High-quality Metadata Management Model of Power Enterprise MDS Cluster Based on Consistent Hash

本文基于一致性Hash设计了电力企业动态化MDS集群高质量元数据管理模型。首先详细分析一致性Hash算法,其次设计数据集成化元数据框架,再次构建一致性Hash集群数据管理模型,最后进行实验验证。实验结果表明,此模型不仅可提高元数据分布均衡性,还可基于备份结点策略保留MDS失效数据信息,同时利用数据延迟处理方式促使集群变化数据迁移量减少,从而实现数据存储的元数据优化管理与扩展。

This paper designs a high-quality metadata management model for power enterprise dynamic MDS cluster based on consistency Hash. Firstly, the consistency Hash algorithm is analyzed in detail, and then the data integration metadata framework is designed, and the consistency Hash cluster data management model is constructed again, and the experimental verification is carried out. The experimental results show that this model can not only improve the distribution balance of metadata, but also retain MDS invalidation data information based on the backup node policy. At the same time, the data delay processing method is used to reduce the data migration volume of cluster change, so as to realize the metadata optimization management and expansion of data storage.