公开(公告)号：US11487579B2

公开(公告)日：2022-11-01

申请号：US16867104

申请日：2020-05-05

Applicant: ADOBE INC.

Inventor： Kanak Vivek Mahadik ,  Ryan A. Rossi ,  Sana Malik Lee ,  Georgios Theocharous ,  Handong Zhao ,  Gang Wu ,  Youngsuk Park

IPC: G06F9/50 ,  G06F11/30 ,  G06F17/10 ,  G06F11/34

Abstract: A system and method for automatically adjusting computing resources provisioned for a computer service or application by applying historical resource usage data to a predictive model to generate predictive resource usage. The predictive resource usage is then simulated for various service configurations, determining scaling requirements and resource wastage for each configuration. A cost value is generated based on the scaling requirement and resource wastage, with the cost value for each service configuration used to automatically select a configuration to apply to the service. Alternatively, the method for automatically adjusting computer resources provisioned for a service may include receiving resource usage data of the service, applying it to a linear quadratic regulator (LQR) to find an optimal stationary policy (treating the resource usage data as states and resource-provisioning variables as actions), and providing instructions for configuring the service based on the optimal stationary policy.

公开(公告)号：US20210357255A1

公开(公告)日：2021-11-18

申请号：US16867104

申请日：2020-05-05

Applicant: ADOBE INC.

Inventor： Kanak Vivek Mahadik ,  Ryan A. Rossi ,  Sana Malik Lee ,  Georgios Theocharous ,  Handong Zhao ,  Gang Wu ,  Youngsuk Park

IPC: G06F9/50 ,  G06F11/34 ,  G06F11/30 ,  G06F17/10

Abstract: A system and method for automatically adjusting computing resources provisioned for a computer service or application by applying historical resource usage data to a predictive model to generate predictive resource usage. The predictive resource usage is then simulated for various service configurations, determining scaling requirements and resource wastage for each configuration. A cost value is generated based on the scaling requirement and resource wastage, with the cost value for each service configuration used to automatically select a configuration to apply to the service. Alternatively, the method for automatically adjusting computer resources provisioned for a service may include receiving resource usage data of the service, applying it to a linear quadratic regulator (LQR) to find an optimal stationary policy (treating the resource usage data as states and resource-provisioning variables as actions), and providing instructions for configuring the service based on the optimal stationary policy.