基础架构资源的 AUTOML 时序预测.pdf

1、2024 Databricks Inc.All rights reservedAutoML Time Series Forecasting for Infrastructure Resources HepingHeping LiuLiuJune 10June 10-13,202413,20241Introduction to Workday Inc.Workday,Inc.,is an international cloud-based on-demand human capital management,financial management and student information

2、 system software vendor.Workday was founded in 2005.TypePublicTraded as Nasdaq:WDAY(Class A)Nasdaq-100 component Fortune 500Industry Cloud computing Enterprise softwareFoundedMarch 2005;19 years agoFounders Dave Duffield Aneel BhusriHeadquartersPleasanton,CaliforniaArea servedWorldwideCEO Carl Esche

3、nbachRevenueUS$7.26 billion(2024 fiscal year)Number of employees18,800(2024)WCONTENT Why Time Series Forecasting for Infrastructure Resources Architecture of Recipe-managed AutoML Time Series Forecasting Big Data ETL Pipeline Engine Recipe-manageded AutoML Time Series Forecasting Engine Application

4、Cases Conclusions Q&AWhy Time Series Forecasting for Infrastructure ResourcesThe infrastructure resources include storage and computation resources such as physical server,MySQL server,JVM,memory,disk size,CPU,etc.The operation monitoring and demand planning require to project the future demand so t

5、hat these resources can be appropriately provisioned and optimized.This talk introduces a recipe-managed AutoML forecasting framework which uses Spark to automate and linearly scale up the fitting and forecasting operations of millions of time series in parallel.The forecasting framework can be used

6、 to address not only the daily dynamic provision of resources to satisfy the fluctuating transactions,but also the long-term planning to achieve and maintain an effective supply equilibrium.The forecasting framework can be extended to many other time series forecasting applications.Time Series Forec