Workload resource allocation using a machine learning model

A system comprising:

• a processor;
• and
• a non-transitory storage medium comprising instructions executable on the processor to:
• receive, from a requester, a request to perform a workload in a virtual computing environment;
• determine based on a relationship of a profile of the requester to groups of profiles, a type of the requester, the determined type being one of a plurality of different requester types;
• receive metrics relating to resource usage in the virtual computing environment;
• and
• determine, using a machine learning model, an allocation of resources to the workload based on the determined type of the requester and the metrics, wherein the allocation of resources comprises a quantity of virtual compute entities to use for performing the workload, and a type of a physical resource to use.

A method comprising:

• receiving, by a system comprising a hardware processor, a request from a requester to perform a workload in a virtual computing environment;
• determining, by the system, an assignment of a profile of the requester to a selected group of a plurality of groups of requester profiles;
• receiving, by the system from a monitoring system, metrics relating to resource usage in the virtual computing environment;
• determining, using a machine learning model executed in the system, an initial allocation of resources to the workload based on the determined type of the requester and the metrics, wherein the allocation of resources comprises a quantity of virtual compute entities to use for performing the workload, which one or more physical computing nodes the quantity of virtual compute entities is to execute on, and a type of a physical resource to use;
• and
• producing, using the machine learning model, an adjusted allocation of resources to the workload based on further collected metrics relating to resource usage by the workload and based on a detected behavior of the requester while the workload is performed in the virtual computing environment.