Patent ID: 11868935
Assignee: YOTASCALE, INC.
Field: IT methods for management (Electrical engineering)
Classification: CPC G | IPC G

Claim 8:
9. A system for allocating computer resources, comprising:
a processing circuitry; and
a memory, the memory containing instructions that, when executed by the processing circuitry, configure the system to:
generate a resource allocation policy defined for an organization for allocating the computer resources;
determine a resource category allocation based on the generated resource allocation policy;
generate a usage data;
automatically generate, by a machine learning model, a new predicted resource allocation policy automatically based on at least one of the generated usage data or the determined resource category allocation, the generating including:
detecting drifts in key application to the computer resources that is input over time,
isolating factors that influence the key application based on a known output including total expenditure of the keyed computer resources and unkeyed computer resources, and
transforming the usage data to a new feature space;
execute allocation engines to allocate remaining unallocated computer resources;
and provide a predicted resource allocation based on the new predicted resource allocation policy to implement a reallocation of the computer resources automatically;
refining the machine learning model by generated feedback, wherein the generated feedback indicates one of an allocation that received a specific feedback, or an identified correct allocation of the computer resources;
reallocate the remaining unallocated resources based on the generated feedback and a feature matching technique.