基于微应用的多租户智慧云存储平台架构方法分析

当前云存储平台架构依据个人PC环境开发,交互性较差、使用率低、大软件系统占用内存大。为此,提出一种基于微应用的多租户智慧云存储平台架构方法。设计基于微应用的多租户智慧云存储平台架构。实现数据管理层时,按照数据冷热特性度,通过冷热数据区分方法对大规模数据进行区分,按照租户行为特征,求出单位时间数据价值,通过指数平滑法对此刻时间数据价值进行估测,提高数据访问命中率。完成冷热数据区分后,在保证服务的情况下,利用Gossip法把多租户监测数据迁移至当前平台架构。微应用在UAP平台进行开发,利用UAP微应用开发平台把微应用相关组件有效结合在一起,完成大规模微应用的自动集群规划。实验结果表明,所提方法因采用微应用,内存使用率和效率高。

Analysis of architecture method of multi tenant Intelligent Cloud Storage Platform Based on micro application

the current cloud storage platform architecture is developed on the basis of individual PC environment, with poor interactivity, low utilization rate and large memory in large software systems. To this end, a multi - tenant Intelligent Cloud Storage Platform Architecture Based on micro - application is proposed. A multi tenant Intelligent Cloud Storage Platform Architecture Based on micro application is designed. The realization of data management, in accordance with the characteristics of hot and cold data, distinguishing method of large scale data were distinguished by the hot and cold data, according to the tenant behavior, calculate the value of data per unit time, time value of the data are estimated by the exponential smoothing method, improve the accuracy of data access. After the cold and hot data are distinguished, the multi tenant monitoring data is migrated to the current platform architecture by using the Gossip method to ensure the service. Micro applications are developed on the UAP platform, and UAP microapplication development platform is applied to effectively integrate micro application related components, and accomplish the automatic cluster planning of large-scale micro applications. The experimental results show that the proposed method has high memory usage and efficiency because of the application of micro - application.