Technologies for Managing Resource Allocation With a Hierarchical Model

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:

• receive resource allocation objective data indicative of multiple resource allocation objectives to be satisfied;
• determine an initial assignment of a set of workloads among the managed nodes;
• receive telemetry data from the managed nodes, wherein the telemetry data is indicative of resource utilization by the managed nodes as the workloads are performed;
• generate, as a function of the telemetry data, a hierarchical model indicative of the resource utilization of each managed node and a relationship between the managed nodes;
• determine, with the hierarchical model, differences in resource utilization for each workload as a function of the managed node that performed the workload;
• determine, as a function of the telemetry data and the determined differences, an adjustment to the assignment of the workloads to increase an achievement of at least one of the resource allocation objectives without decreasing the achievement of any of the other resource allocation objectives;
• and
• apply the adjustment to the assignments of the workloads among the managed nodes as the workloads are performed.

An orchestrator server to allocate resources of a set of managed nodes to workloads based on resource utilization phase residencies, the orchestrator server comprising:

• circuitry for receiving resource allocation objective data indicative of multiple resource allocation objectives to be satisfied;
• circuitry for determining an initial assignment of a set of workloads among the managed nodes;
• circuitry for receiving telemetry data from the managed nodes, wherein the telemetry data is indicative of resource utilization by each of the managed nodes as the workloads are performed;
• means for determining, as a function of the telemetry data, phase residency data indicative of temporal lengths of resource utilization phases of the workloads, wherein each resource utilization phase is indicative of a utilization of a managed node component that satisfies a threshold amount;
• means for determining, as a function of at least the phase residency data and the resource allocation objective data, an adjustment to the assignment of the workloads to increase an achievement of at least one of the resource allocation objectives without decreasing the achievement of any of the other resource allocation objectives;
• and
• means for applying the adjustment to the assignments of the workloads among the managed nodes as the workloads are performed.

A method for allocating resources of a set of managed nodes to workloads based on resource utilization phase residencies, the method comprising:

• receiving, by an orchestrator server, resource allocation objective data indicative of multiple resource allocation objectives to be satisfied;
• determining, by the orchestrator server, an initial assignment of a set of workloads among the managed nodes;
• receiving, by the orchestrator server, telemetry data from the managed nodes, wherein the telemetry data is indicative of resource utilization by each of the managed nodes as the workloads are performed;
• determining, by the orchestrator server and as a function of the telemetry data, phase residency data indicative of temporal lengths of resource utilization phases of the workloads, wherein each resource utilization phase is indicative of a utilization of a managed node component that satisfies a threshold amount;
• determining, by the orchestrator server and as a function of at least the phase residency data and the resource allocation objective data, an adjustment to the assignment of the workloads to increase an achievement of at least one of the resource allocation objectives without decreasing the achievement of any of the other resource allocation objectives;
• and
• applying, by the orchestrator server, the adjustment to the assignments of the workloads among the managed nodes as the workloads are performed.