A power delivery system of a computing system that is on alternating current (AC) power limits software administrative tasks to a system-controlled and tunable broadcast window. This window limitation allows a computing system to enter and stay in low-power states without variable disturbances from administrative functions that can be relegated to the window. For example, maintenance is restricted until the computing system broadcasts a notification. Legacy software and devices that do not understand these notifications can be told the AC power is not present nominally, and then be notified of AC power presence during maintenance intervals.

The present disclosure relates to systems, methods, and computer readable media for enabling server devices to utilize a higher percentage of power resources while maintaining sufficient availability of power resources of a datacenter or other collection of server devices. For example, systems disclosed herein determine and implement power shaving actions based on virtual machine metadata and in accordance with a power shaving policy to facilitate a significantly higher utilization of power resources on a datacenter during normal operation as well as within periods of limited power capacity on various server devices. Systems described herein provide more efficient utilization of power resources while maintaining service availability guarantees for a variety of virtual machines hosted by servers of the datacenter.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for shaping compute load using virtual capacity. In one aspect, a method includes obtaining a load forecast that indicates forecasted future compute load for a cell, obtaining a power model that models a relationship between power usage and computational usage for the cell, obtaining a carbon intensity forecast that indicates a forecast of carbon intensity for a geographic area where the cell is located, determining a virtual capacity for the cell based on the load forecast, the power model, and the carbon intensity forecast, and providing the virtual capacity for the cell to the cell.

A power delivery system of a computing system that is on alternating current (AC) power limits software administrative tasks to a system-controlled and tunable broadcast window. This window limitation allows a computing system to enter and stay in low-power states without variable disturbances from administrative functions that can be relegated to the window. For example, maintenance is restricted until the computing system broadcasts a notification. Legacy software and devices that do not understand these notifications can be told the AC power is not present nominally, and then be notified of AC power presence during maintenance intervals.

Systems, apparatuses, and methods for performing temperature-aware task scheduling and proactive power management. A SoC includes a plurality of processing units and a task queue storing pending tasks. The SoC calculates a thermal metric for each pending task to predict an amount of heat the pending task will generate. The SoC also determines a thermal gradient for each processing unit to predict a rate at which the processing unit's temperature will change when executing a task. The SoC also monitors a thermal margin of how far each processing unit is from reaching its thermal limit. The SoC minimizes non-uniform heat generation on the SoC by scheduling pending tasks from the task queue to the processing units based on the thermal metrics for the pending tasks, the thermal gradients of each processing unit, and the thermal margin available on each processing unit.

Systems, apparatuses, and methods for achieving balanced execution in a multi-node cluster through runtime detection of performance variation are described. During a training phase, performance counters and an amount of time spent waiting for synchronization is monitored for a plurality of tasks for each node of the multi-node cluster. These values are utilized to generate a model which correlates the values of the performance counters to the amount of time spent waiting for synchronization. Once the model is built, the values of the performance counters are monitored for a period of time at the start of each task, and these values are input into the model. The model generates a prediction of whether a given node is on the critical path. If the given node is predicted to be on the critical path, the power allocation of the given node is increased.

An electronic device includes one or more sensors detecting an energy storage level of an energy storage device falling below a predefined threshold. A location detector and a motion detector determine whether the electronic device is positioned at a location trusted by an authorized user or whether the electronic device is being transported by a mode of transport trusted by the authorized user. The one or more processors identify foreground applications operating on the electronic device and non-essential services associated with the foreground applications. The one or more processors restrict the non-essential services from occurring when the energy storage level of the energy storage device is below the predefined threshold unless the electronic device is positioned at the trusted location or is being transported by the trusted mode of transport.

Methods and apparatus for resource lifetime aware cooling schemes are disclosed. A disclosed example apparatus to manage a computing system includes at least one memory, machine readable instructions, and processor circuitry. The processor circuitry is to at least one of instantiate or execute the machine readable instructions to determine an effective age of a computing resource of the computing system, the computing resource associated with a degree of cooling thereof, determine a remaining life of the computing resource, compare the remaining life to a reliability threshold, and adjust at least one of a utilization or the degree of cooling of the computing resource in response to the remaining life not meeting the reliability threshold to adjust the remaining life to meet or exceed the reliability threshold.

Embodiments include computing devices, apparatus, and methods implemented by the apparatus for implementing wake lock aware scheduling. The apparatus may receive a wake lock request by a wake lock profiler and acquire wake lock information of a wake lock event associated with the wake lock request. The wake lock information may include a wake lock time parameter. The apparatus may send a hint having the wake lock time parameter. The apparatus may receive the hint, determine whether ready jobs can execute during the wake lock event, and send a request for permission to schedule the ready jobs for execution during the wake lock event in response to determining that the ready jobs can execute during the wake lock event.

Technologies for providing attestation for function as a service flavors include a compute device including circuitry configured to obtain function definition data indicative of a set of operations to be performed in a function and a set of hardware resources to be utilized by the function, execute a benchmark operation to produce benchmark data indicative of a measured performance of the function, and sign the function definition data and the benchmark data to produce function flavor data. The circuitry is also configured to provide the function flavor data to one or more other compute devices for validation that the function, when executed on the hardware resources, provides the measured performance and write, to a distributed ledger, the function flavor data.