An integrated circuit includes; a core configured to process an instruction in accordance with a voltage-frequency level, an instruction complexity calculation circuit configured to calculate an instruction complexity for at least one instruction to-be-processed after a reference time in relation to heating information related to the core acquired before the reference time, wherein the instruction complexity calculation circuit is further configured to generate a control signal corresponding to the instruction complexity, and a dynamic voltage and frequency scaling (DVFS) controller configured to adjust the voltage-frequency level after the reference time in response to the control signal.

A task processor has a low power connectivity processor and a high performance applications processor. Software processes have a component operative on a connectivity processor and a component operative on an applications processor. The low power connectivity processor is coupled to a low power front end for wireless packets and the high performance applications processor is coupled to a high performance front end. A power controller is coupled to the low power front end and enables the applications processor and high performance front end when wireless packets which require greater processing capacity are received, and removes power from the applications processor and high performance front end at other times.

A task processor has a low power connectivity processor and a high performance applications processor. Software processes have a component operative on a connectivity processor and a component operative on an applications processor. The low power connectivity processor is coupled to a low power front end for wireless packets and the high performance applications processor is coupled to a high performance front end. A power controller is coupled to the low power front end and enables the applications processor and high performance front end when wireless packets which require greater processing capacity are received, and removes power from the applications processor and high performance front end at other times.

Systems and methods, according to the present disclosure, determines a duration of the current queue of commands in the controller, executes all full commands capable of being executed prior to the beginning of a low power cycle. Commands that are not executed may be re-fetched when the device enters a power mode. In an alternate embodiment, a portion of a command that is executable prior to the beginning of a low power cycle is executed, with the un-executed portion of the command being stored on the device, in an “always on” or AON memory. This un-executed portion is fetched and executed when the device enters the power mode.

A power supply manager manages power utilization of a first uninterruptible power source and a second uninterruptible power source. A load balancing service retrieves information that is associated with a first power supply unit and a second power supply unit, and determines a first power source state associated with the first uninterruptible power source and a second power source state associated with the second uninterruptible power source. The service may also set the first power supply unit in an active mode based on the first power source state, and set the second power supply unit in a standby mode based on the second power source state. The service may also transition the first power supply unit from the active mode to standby mode, and the second power supply unit from standby mode to the active mode, based on a power imbalance.

A power supply manager manages power utilization of a first uninterruptible power source and a second uninterruptible power source. A load balancing service retrieves information that is associated with a first power supply unit and a second power supply unit, and determines a first power source state associated with the first uninterruptible power source and a second power source state associated with the second uninterruptible power source. The service may also set the first power supply unit in an active mode based on the first power source state, and set the second power supply unit in a standby mode based on the second power source state. The service may also transition the first power supply unit from the active mode to standby mode, and the second power supply unit from standby mode to the active mode, based on a power imbalance.

Systems and methods for managing a power budget are provided. The method includes designating, by a power budget manager implemented on at least one processor, each of one or more applications with an individual quality of service (QoS) designation, the one or more applications executable by the at least one processor, assigning, by the power budget manager, a throttling priority to each of the one or more applications based on the individual QoS designations, determining, by the power budget manager, whether a platform mitigation threshold is exceeded, and responsive to determining that the platform mitigation threshold is exceeded, throttling, by the power budget manager, processing power allocated to at least one application of the one or more applications based on the throttling prioritization.

A time-aware application task scheduling system for a green data center (GDC) that includes a task scheduling processor coupled to one or more queue processors and an energy collecting processor connected to one or more renewable energy sources and a grid power source. The systems is capable of determining a service rate for a plurality of servers to process a plurality of application tasks in the GDC and scheduling, via processing circuitry, one or more of the application tasks to be executed in one or more of the servers at a rate according to a difference in an accumulated arriving rate for the plurality of application tasks into the one or more queues and a removal rate for the plurality of application tasks from the one or more queues. The system is further capable of removing the one or more application tasks from their associated queues for execution in the scheduled one or more servers.

A time-aware application task scheduling system for a green data center (GDC) that includes a task scheduling processor coupled to one or more queue processors and an energy collecting processor connected to one or more renewable energy sources and a grid power source. The systems is capable of determining a service rate for a plurality of servers to process a plurality of application tasks in the GDC and scheduling, via processing circuitry, one or more of the application tasks to be executed in one or more of the servers at a rate according to a difference in an accumulated arriving rate for the plurality of application tasks into the one or more queues and a removal rate for the plurality of application tasks from the one or more queues. The system is further capable of removing the one or more application tasks from their associated queues for execution in the scheduled one or more servers.

Technologies are disclosed for temporarily hiding user interface (“UI”) elements, such as application windows or tabs. A request can be received to hide a UI element for a specified period of time. When such a request is received, the UI element is hidden and an identifier corresponding to the UI element is moved from a first area of a taskbar to a second area of the taskbar. The application presenting the UI element can be configured for reduced consumption of computing resources while the UI element is hidden. Additionally, notifications associated with the UI element can be disabled while the UI element is hidden. When the specified period of time to hide the UI element has elapsed, the UI element is once again displayed. Additionally, the identifier corresponding to the UI element is moved from the second area of the taskbar back to the first area of the taskbar.