Abstract: A mechanism is provided for priority-based power capping. A power management controller identifies a set of priorities for a set of partitions of the data processing system. The power management controller determines whether a measured power of the data processing system exceeds a power cap for the data processing system. Responsive to the measured power exceeding the power cap, the power management controller sends a set of commands to a set of component actuators to adjust one or more of a set of operation parameters for a set of components associated with the set of partitions using the set of priorities. The set of component actuators adjust the one or more of the set of operational parameters associated with the set of component in order to reduce a power consumption of the data processing system.

Abstract: Data center environmental sensing is provided by a measurement system that detects environmental events from inputs received from a plurality of movable sensors. The sensors are moved in response to detection of an event to a region of the data center associated with the event, providing increased spatial resolution of the measurement in the region of the event. Events such as leakage between hot and cold aisles of a data center can be detected by the system, which may use one or more movable devices that can be moved around, between and over equipment, to carry multiple sensors toward the source of the event, providing both diagnostic and detailed environmental information.

Abstract: A mechanism is provided for scheduling application tasks. A scheduler receives a task that identifies a desired frequency and a desired maximum number of competing hardware threads. The scheduler determines whether a user preference designates either maximization of performance or minimization of energy consumption. Responsive to the user preference designating the performance, the scheduler determines whether there is an idle processor core in a plurality of processor cores available. Responsive to no idle processor being available, the scheduler identifies a subset of processor cores having a smallest load coefficient. From the subset of processor cores, the scheduler determines whether there is at least one processor core that matches desired parameters of the task. Responsive to at least one processor core matching the desired parameters of the task, the scheduler assigns the task to one of the at least one processor core that matches the desired parameters.

Abstract: A distributed power management computer program product is configured to collect power consumption data that indicates power consumption by at least a plurality of the components of a node. The program code can be configured to provide, to each of a plurality of controllers associated with a respective one of the plurality of components, the power consumption data. The program code can be configured to determine a node power consumption. The program code can be configured to determine a power differential as a difference between the node power consumption and an upper power consumption threshold of the node. The program code can be configured to determine a proportion of the node power consumption consumed by a first component. The program code can be configured to compute a local power budget for the first component.

Abstract: A mechanism is provided for priority-based power capping. A power management controller identifies a set of priorities for a set of partitions of the data processing system. The power management controller determines whether a measured power of the data processing system exceeds a power cap for the data processing system. Responsive to the measured power exceeding the power cap, the power management controller sends a set of commands to a set of component actuators to adjust one or more of a set of operation parameters for a set of components associated with the set of partitions using the set of priorities. The set of component actuators adjust the one or more of the set of operational parameters associated with the set of component in order to reduce a power consumption of the data processing system.

Abstract: A mechanism is provided for allocating energy budgets to a plurality of logical partitions. An overall energy budget for the data processing system and a total of a set of requested initial energy budgets for the plurality of partitions are determined. A determination is made as to whether the total of the set of requested initial energy budgets for the plurality of partitions is greater than the overall energy budget for the data processing system. Responsive to the total of the set of requested initial energy budgets exceeding the overall energy budget, an initial energy budget is allocated to each partition in the plurality of partitions based on at least one of priority or proportionality of each partition in the plurality of partitions such that a total of the initial energy budgets for the plurality of partitions does not exceed the overall energy budget of the data processing system.

Abstract: A mechanism is provided for dynamically power capping one or more units. A power capping mechanism sets a counter value corresponding to an initial energy budget assigned to a unit for a given interval. Responsive to the unit receiving an operation to perform during the given interval, the power capping mechanism decrements the counter value by a decrement value. Responsive to the given interval expiring, the power capping mechanism sends the counter value to a power control loop in the data processing system, receives a new energy budget from the power control loop, and resets the counter value to a value corresponding to the new energy budget assigned to the unit for a next interval.

Abstract: Data center environmental sensing is provided by a measurement system that detects environmental events from inputs received from a plurality of movable sensors. The sensors are moved in response to detection of an event to a region of the data center associated with the event, providing increased spatial resolution of the measurement in the region of the event. Events such as leakage between hot and cold aisles of a data center can be detected by the system, which may use one or more movable devices that can be moved around, between and over equipment, to carry multiple sensors toward the source of the event, providing both diagnostic and detailed environmental information.

Abstract: A mechanism is provided for scheduling application tasks. A scheduler receives a task that identifies a desired frequency and a desired maximum number of competing hardware threads. The scheduler determines whether a user preference designates either maximization of performance or minimization of energy consumption. Responsive to the user preference designating the performance, the scheduler determines whether there is an idle processor core in a plurality of processor cores available. Responsive to no idle processor being available, the scheduler identifies a subset of processor cores having a smallest load coefficient. From the subset of processor cores, the scheduler determines whether there is at least one processor core that matches desired parameters of the task. Responsive to at least one processor core matching the desired parameters of the task, the scheduler assigns the task to one of the at least one processor core that matches the desired parameters.

Abstract: A mechanism is provided for priority-based power capping. A power management controller identifies a set of priorities for a set of partitions of the data processing system. The power management controller determines whether a measured power of the data processing system exceeds a power cap for the data processing system. Responsive to the measured power exceeding the power cap, the power management controller sends a set of commands to a set of component actuators to adjust one or more of a set of operation parameters for a set of components associated with the set of partitions using the set of priorities. The set of component actuators adjust the one or more of the set of operational parameters associated with the set of component in order to reduce a power consumption of the data processing system.

Abstract: A mechanism is provided for priority-based power capping. A power management controller identifies a set of priorities for a set of partitions of the data processing system. The power management controller determines whether a measured power of the data processing system exceeds a power cap for the data processing system. Responsive to the measured power exceeding the power cap, the power management controller sends a set of commands to a set of component actuators to adjust one or more of a set of operation parameters for a set of components associated with the set of partitions using the set of priorities. The set of component actuators adjust the one or more of the set of operational parameters associated with the set of component in order to reduce a power consumption of the data processing system.

Abstract: A mechanism is provided for priority-based power capping. A power management controller identifies a set of priorities for a set of partitions of the data processing system. The power management controller determines whether a measured power of the data processing system exceeds a power cap for the data processing system. Responsive to the measured power exceeding the power cap, the power management controller sends a set of commands to a set of component actuators to adjust one or more of a set of operation parameters for a set of components associated with the set of partitions using the set of priorities. The set of component actuators adjust the one or more of the set of operational parameters associated with the set of component in order to reduce a power consumption of the data processing system.

Abstract: A method, system, and computer program product for optimizing power consumption of an executing processor executing. The method includes determining a first sensitivity relationship (SR) based on a first and a second performance metric value (PMV) measured at a first and second operating frequency (OF), respectively. The first SR predicts workload performance over a range of OFs. A third OF is determined based on the first SR and a specified workload performance floor. A third PMV is measured by executing the processor operating at the third OF. A second SR based on the second and third PMVs is then determined. The first and second SRs are logically combined to generate a third SR. Based on the third SR, a fourth OF is outputted.

Abstract: A mechanism is provided for controlling operational parameters associated with a plurality of processors. A control system in the data processing system determines a utilization slack value of the data processing system. The utilization slack value is determined using one or more active core count values and one or more slack core count values. The control system computes a new utilization metric to be a difference between a full utilization value and the utilization slack value. The control system determines whether the new utilization metric is below a predetermined utilization threshold. Responsive to the new utilization metric being below the predetermined utilization threshold, the control system decreases a frequency of the plurality of processors.

Abstract: A mechanism is provided for scheduling application tasks. A scheduler receives a task that identifies a desired frequency and a desired maximum number of competing hardware threads. The scheduler determines whether a user preference designates either maximization of performance or minimization of energy consumption. Responsive to the user preference designating the performance, the scheduler determines whether there is an idle processor core in a plurality of processor cores available. Responsive to no idle processor being available, the scheduler identifies a subset of processor cores having a smallest load coefficient. From the subset of processor cores, the scheduler determines whether there is at least one processor core that matches desired parameters of the task. Responsive to at least one processor core matching the desired parameters of the task, the scheduler assigns the task to one of the at least one processor core that matches the desired parameters.

Abstract: A mechanism is provided for allocating energy budgets to a plurality of logical partitions. An overall energy budget for the data processing system and a total of a set of requested initial energy budgets for the plurality of partitions are determined. A determination is made as to whether the total of the set of requested initial energy budgets for the plurality of partitions is greater than the overall energy budget for the data processing system. Responsive to the total of the set of requested initial energy budgets exceeding the overall energy budget, an initial energy budget is allocated to each partition in the plurality of partitions based on at least one of priority or proportionality of each partition in the plurality of partitions such that a total of the initial energy budgets for the plurality of partitions does not exceed the overall energy budget of the data processing system.

Abstract: A mechanism is provided for scheduling application tasks. A scheduler receives a task that identifies a desired frequency and a desired maximum number of competing hardware threads. The scheduler determines whether a user preference designates either maximization of performance or minimization of energy consumption. Responsive to the user preference designating the performance, the scheduler determines whether there is an idle processor core in a plurality of processor cores available. Responsive to no idle processor being available, the scheduler identifies a subset of processor cores having a smallest load coefficient. From the subset of processor cores, the scheduler determines whether there is at least one processor core that matches desired parameters of the task. Responsive to at least one processor core matching the desired parameters of the task, the scheduler assigns the task to one of the at least one processor core that matches the desired parameters.

Abstract: A mechanism is provided for dynamically power capping one or more units. A power capping mechanism sets a counter value corresponding to an initial energy budget assigned to a unit for a given interval. Responsive to the unit receiving an operation to perform during the given interval, the power capping mechanism decrements the counter value by a decrement value. Responsive to the given interval expiring, the power capping mechanism sends the counter value to a power control loop in the data processing system, receives a new energy budget from the power control loop, and resets the counter value to a value corresponding to the new energy budget assigned to the unit for a next interval.

Abstract: A method, system, and computer program product for reducing power and energy consumption in a server system with multiple processor cores is disclosed. The system may include an operating system for scheduling user workloads among a processor pool. The processor pool may include active licensed processor cores and inactive unlicensed processor cores. The method and computer program product may reduce power and energy consumption by including steps and sets of instructions activating spare cores and adjusting the operating frequency of processor cores, including the newly activated spare cores to provide equivalent computing resources as the original licensed cores operating at a specified clock frequency.

Abstract: A mechanism is provided for controlling operational parameters associated with a plurality of processors. A control system in the data processing system determines a utilization slack value of the data processing system. The utilization slack value is determined using one or more active core count values and one or more slack core count values. The control system computes a new utilization metric to be a difference between a full utilization value and the utilization slack value. The control system determines whether the new utilization metric is below a predetermined utilization threshold. Responsive to the new utilization metric being below the predetermined utilization threshold, the control system decreases a frequency of the plurality of processors.