关键词: 多租户, 数据存储, 性能模型, 分段多维

Abstract: The multi-tenant data storage is crucial for improving user experience, enhancing system executing efficiency and reducing operator cost. In consideration of massive tenants, how to satisfy the performance requirements of different tenants for shared data node is key problem to be solved. Aiming at the characteristics of different performance requirement of multi-tenant data storage, this paper proposes a piecewise multiple performance model, containing piecewise multiple performance boundary function and performance prediction method for multi-tenant data storage. This method contains benchmark data collecting, model calculation, load forecasting and performance analysis. The goal is to determine whether each data node is able to meet the performance requirements of different tenants. The experiment system results show that the method can predict the workload in future and judge whether each data node is overloaded or not, which provides the basis for the distributed multi-tenant data layout.

Key words: multi-tenant, data storage, performance model, piecewise multiple