Workload dependent load-sharing mechanism in multi-battery system, and adaptive charging and discharging for a hybrid battery
US-2021135478-A1 · May 6, 2021 · US
US12579274B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12579274-B2 |
| Application number | US-202117561301-A |
| Country | US |
| Kind code | B2 |
| Filing date | Dec 23, 2021 |
| Priority date | Nov 16, 2021 |
| Publication date | Mar 17, 2026 |
| Grant date | Mar 17, 2026 |
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Various systems and methods for implementing intent-driven power management are described herein. A system includes: a power monitoring unit to collect real-time telemetry of a processor on a compute node; and a power level controller to: receive a power intent for execution of an application on the compute node; configure a power level of the processor of the compute node based on the power intent, the processor to execute the application; set an initial execution priority of the application on the compute node based on the power intent; and modify the initial execution priority based on the power intent and the real-time telemetry of the compute node.
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What is claimed is: 1 . A system for implementing intent-driven power management, comprising: a power monitoring unit to collect real-time telemetry of a processor on a compute node; and a power level controller to: receive, from an external orchestrator system, a power intent for execution of an application on the compute node, wherein the power intent is described as a declarative statement included in a service level agreement (SLA); configure a power level of the processor of the compute node based on the power intent, the processor to execute the application; set an initial execution priority of the application on the compute node based on the power intent; modify the initial execution priority based on the power intent and the real-time telemetry of the compute node; receive processor utilization metrics from the compute node; receive processor power metrics from the compute node; receive instructions per cycle metrics from the compute node; receive a delta for a service level agreement for each node that the application is executing on, the delta for the service level agreement produced based on a comparison between an end-to-end service level agreement telemetry and an intent-based service level agreement; receive a delta for power consumption for each node that the application is executing on, the delta for power consumption produced based on a comparison between the power intent and processor power metrics; and configure the power level of the processor based on the delta for a service level agreement and the delta for power consumption, wherein to configure the power level of the processor, the power level controller is configured to implement a trained power model that determines an amount of corrective movement to align the end-to-end service level agreement telemetry with the intent-based service level agreement. 2 . The system of claim 1 , wherein the power level includes a power limit 1 (PL1) setting. 3 . The system of claim 1 , wherein the power level includes a power limit 2 (PL2) setting. 4 . The system of claim 1 , wherein the initial execution priority includes a preset priority. 5 . The system of claim 1 , wherein the real-time telemetry of the processor includes per core frequency, per core power state residency, uncore frequency, or overall power consumption. 6 . The system of claim 1 , wherein the power level controller is to: configure the power level of the processor based on the processor utilization metrics, the processor power metrics, and the instructions per cycle metrics. 7 . The system of claim 6 , wherein the processor utilization metrics include an exponential weighted moving average of processor utilization. 8 . The system of claim 6 , wherein the processor power metrics include an exponential weighted moving average of processor power consumption. 9 . The system of claim 6 , wherein the instructions per cycle metrics include an exponential weighted moving average of instructions per cycle the application executes on the processor. 10 . A method for implementing intent-driven power management, comprising: collecting real-time telemetry of a processor on a compute node; receiving, from an external orchestrator system, a power intent for execution of an application on the compute node, wherein the power intent is described as a declarative statement included in a service level agreement (SLA); configuring a power level of the processor of the compute node based on the power intent, the processor to execute the application; setting an initial execution priority of the application on the compute node based on the power intent; modifying the initial execution priority based on the power intent and the real-time telemetry of the compute node; receiving processor utilization metrics from the compute node; receiving processor power metrics from the compute node; receiving instructions per cycle metrics from the compute node; receiving a delta for a service level agreement for each node that the application is executing on, the delta for the service level agreement produced based on a comparison between an end-to-end service level agreement telemetry and an intent-based service level agreement; receiving a delta for power consumption for each node that the application is executing on, the delta for power consumption produced based on a comparison between the power intent and processor power metrics; and configuring the power level of the processor based on the delta for a service level agreement and the delta for power consumption, by implementing a trained power model that determines an amount of corrective movement to align the end-to-end service level agreement telemetry with the intent-based service level agreement. 11 . The method of claim 10 , including: configuring the power level of the processor based on the processor utilization metrics, the processor power metrics, and the instructions per cycle metrics. 12 . The method of claim 11 , wherein the processor utilization metrics include an exponential weighted moving average of processor utilization. 13 . At least one non-transitory machine-readable medium including instructions for implementing intent-driven power management, which when executed by a machine, cause the machine to perform operations comprising: collecting real-time telemetry of a processor on a compute node; receiving, from an external orchestrator system, a power intent for execution of an application on the compute node, wherein the power intent is described as a declarative statement included in a service level agreement (SLA); configuring a power level of the processor of the compute node based on the power intent, the processor to execute the application; setting an initial execution priority of the application on the compute node based on the power intent; modifying the initial execution priority based on the power intent and the real-time telemetry of the compute node; receiving processor utilization metrics from the compute node; receiving processor power metrics from the compute node; receiving instructions per cycle metrics from the compute node; receiving a delta for a service level agreement for each node that the application is executing on, the delta for the service level agreement produced based on a comparison between an end-to-end service level agreement telemetry and an intent-based service level agreement; receiving a delta for power consumption for each node that the application is executing on, the delta for power consumption produced based on a comparison between the power intent and processor power metrics; and configuring the power level of the processor based on the delta for a service level agreement and the delta for power consumption, wherein to configure the power level of the processor, by implementing a trained power model that determines an amount of corrective movement to align the end-to-end service level agreement telemetry with the intent-based service level agreement. 14 . The non-transitory machine-readable medium of claim 13 , wherein the power level includes a power limit 1 (PL1) setting. 15 . The non-transitory machine-readable medium of claim 13 , wherein the power level includes a power limit 1 (PL2) setting. 16 . The non-transitory machine-readable medium of claim 13 , wherein the initial execution priority includes a preset priority. 17 . The non-transitory machine-readable medium of claim 13 , wherein the real-time telemetry of the processor includes per core frequency, per core power state residency,
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