Dynamic Task Resource Allocation Using Meta-Learning Diagnostic Models

A method comprising:

• at a computing platform comprising at least one processor, a communication interface, and memory:
• training, based on historical task information, an actuator engine, wherein training the actuator engine configures the actuator engine to identify an updated resource allocation;
• receiving, from a task execution system, first task information associated with a first task;
• preprocessing the first task information;
• inputting, based on the first task associated with the preprocessed first task information including a heavy payload, the preprocessed first task information into the actuator engine;
• extracting resource allocation information associated with the preprocessed first task information;
• identifying an updated resource allocation by solving a preemption resource saturation model associated with the actuator engine, wherein the updated resource allocation comprises a new allocation of resources to execute the first task;
• and
• sending the updated resource allocation and commands to the task execution system, that when received by the task execution system, directs the task execution system to use the updated resource allocation for the first task, wherein directing the task execution system to use the updated resource configuration for the first task causes the task execution system to reconfigure resources of the task execution system according to the updated resource allocation.

One or more non-transitory computer-readable storing instructions that, when executed by a computing platform comprising at least one processor, a communication interface, and memory, cause the computing platform to:

• train, based on historical task information, an actuator engine, wherein training the actuator engine configures the actuator engine to identify an updated resource allocation;
• receive, from a task execution system, first task information associated with a first task;
• preprocess the first task information;
• input, based on the first task associated with the preprocessed first task information including a heavy payload, the preprocessed first task information into the actuator engine;
• extract resource allocation information associated with the preprocessed first task information;
• identify an updated resource allocation by solving a preemption resource saturation model associated with the actuator engine, wherein the updated resource allocation comprises a new allocation of resources to execute the first task;
• and
• send the updated resource allocation and commands to the task execution system, that when received by the task execution system, directs the task execution system to use the updated resource allocation for the first task, wherein directing the task execution system to use the updated resource configuration for the first task causes the task execution system to reconfigure resources of the task execution system according to the updated resource allocation.