Technologies for determining and storing workload characteristics

One or more machine-readable storage media comprising a plurality of instructions stored thereon that, in response to being executed, cause an orchestrator server to:

• identify a workload to be executed by a managed node;
• obtain a profile associated with the workload, wherein the profile includes a model that relates an input parameter set indicative of one or more characteristics of the workload with an output parameter set indicative of one or more aspects of resources to be allocated for execution of the workload;
• determine, as a function of the input parameter set and the model, resources to allocate to the managed node to execute the workload;
• and
• allocate the determined resources to the managed node to execute the workload.

A orchestrator server to manage workload profiles, the orchestrator server comprising:

• means for identifying a workload to be executed by a managed node;
• means for obtaining a profile associated with the workload, wherein the profile includes a model that relates an input parameter set indicative of one or more characteristics of the workload with an output parameter set indicative of one or more aspects of resources to be allocated for execution of the workload;
• means for determining, as a function of the input parameter set and the model, resources to allocate to the managed node to execute the workload;
• and
• circuitry for allocating the determined resources to the managed node to execute the workload.

A method for managing workload profiles, the method comprising:

• identifying, by an orchestrator server, a workload to be executed by a managed node;
• obtaining, by the orchestrator server, a profile associated with the workload, wherein the profile includes a model that relates an input parameter set indicative of one or more characteristics of the workload with an output parameter set indicative of one or more aspects of resources to be allocated for execution of the workload;
• determining, by the orchestrator server and as a function of the input parameter set and the model, resources to allocate to the managed node to execute the workload;
• and
• allocating, by the orchestrator server, the determined resources to the managed node to execute the workload.