Adobe, Inc.

Arpit Aggarwal

Subrata Mitra

Sunav Choudhary

Anuj Jitendra Diwan

Prateek Jain

Shaddy Garg

Piyush Kumar Maurya

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.

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Amsterdam, Netherlands

Arpit Aggarwal