公开(公告)号：US12014217B2

公开(公告)日：2024-06-18

申请号：US17538663

申请日：2021-11-30

Applicant: Adobe Inc.

Inventor： Subrata Mitra ,  Sunav Choudhary ,  Shaddy Garg ,  Anuj Jitendra Diwan ,  Piyush Kumar Maurya ,  Arpit Aggarwal ,  Prateek Jain

IPC: G06F9/44 ,  G06F9/50 ,  G06F18/214 ,  G06N20/00

CPC classification number: G06F9/5038 ,  G06F9/5044 ,  G06F9/5055 ,  G06F9/5088 ,  G06F18/214 ,  G06N20/00

Abstract: A resource control system is described that is configured to control scheduling of executable jobs by compute instances of a service provider system. In one example, the resource control system outputs a deployment user interface to obtain job information. Upon receipt of the job information, the resource control system communicates with a service provider system to obtain logs from compute instances implemented by the service provider system for the respective executable jobs. The resource control system uses data obtained from the logs to estimate utility indicating status of respective executable jobs and an amount of time to complete the executable jobs by respective compute instances. The resource control system then employs a machine-learning module to generate an action to be performed by compute instances for respective executable jobs.

公开(公告)号：US20230168941A1

公开(公告)日：2023-06-01

申请号：US17538663

申请日：2021-11-30

Applicant: Adobe Inc.

Inventor： Subrata Mitra ,  Sunav Choudhary ,  Shaddy Garg ,  Anuj Jitendra Diwan ,  Piyush Kumar Maurya ,  Arpit Aggarwal ,  Prateek Jain

IPC: G06F9/50 ,  G06K9/62 ,  G06N20/00

CPC classification number: G06F9/5038 ,  G06F9/5044 ,  G06F9/5055 ,  G06F9/5088 ,  G06K9/6256 ,  G06N20/00

Abstract: A resource control system is described that is configured to control scheduling of executable jobs by compute instances of a service provider system. In one example, the resource control system outputs a deployment user interface to obtain job information. Upon receipt of the job information, the resource control system communicates with a service provider system to obtain logs from compute instances implemented by the service provider system for the respective executable jobs. The resource control system uses data obtained from the logs to estimate utility indicating status of respective executable jobs and an amount of time to complete the executable jobs by respective compute instances. The resource control system then employs a machine-learning module to generate an action to be performed by compute instances for respective executable jobs.