基于时间序列的存储负载预警研究

Storage load forecasting research based on time series

数据中心存储负载率高会引起应用系统性能下降甚至导致系统瘫痪,预测存储未来的负载情况,能有效避免应用系统因出现存储容量耗尽引发的系统故障。本文采用时间序列分析法探讨研究存储性能历史数据,基于python构建存储容量预测的ARIMA模型,实现存储负载自动预警。

High load rate of data center storage can cause performance reduction of application system and even lead to paralysis.So predicting storage load situation of the future could effectively avoid the system failure of application system due to exhaustion of storage capacity.In this paper,time series analysis is used to analyze the storage performance history data,and the ARIMA model of storage capacity prediction constructed based on python is used to realize the automatic warning of storage load.