Abstract:
Mechanisms are provided for performing a floating point arithmetic operation in a data processing system. A plurality of floating point operands of the floating point arithmetic operation are received and bits in a mantissa of at least one floating point operand of the plurality of floating point operands are shifted. One or more bits of the mantissa that are shifted outside a range of bits of the mantissa of at least one floating point operand are stored and a vector value is generated based on the stored one or more bits of the mantissa that are shifted outside of the range of bits of the mantissa of the at least one floating point operand. A resultant value is generated for the floating point arithmetic operation based on the vector value and the plurality of floating point operands.
Abstract:
A data center energy management (DCEM) server configures a power supply in the data center. The DCEM server sums input alternating current (AC) power of the power supply to a total AC power of the data center, wherein the total AC power of the data center is a sum of AC power of a plurality of power supplies. The DCEM server sums output direct current (DC) power of the power supply to a total DC power of the data center and reports a ratio of total AC power to total DC power as data center power conversion efficiency. The DCEM server sets a preset power supply efficiency threshold. The DCEM server determines that a real-time power efficiency level is below the power supply efficiency threshold. The DCEM server, responsive to a determination that real-time power efficiency level is below the power supply efficiency threshold, may remedy the power supply.
Abstract:
Associating processor and processor core energy consumption with a task such as a virtual machine is disclosed. Various events cause a trace record to be written to a trace buffer for a processor. An identifier associated with a task using a processor core of the processor is read. In addition, one or more values associated with an energy consumption of the processor core are read. In response to the event, the one or more values associated with the energy consumption of the processor core and the identifier are written to the trace buffer memory.
Abstract:
Embodiments include collecting, from each of a plurality of controllers of a node having a plurality of components, component power consumption. Each of the plurality of controllers is associated with one or more of the components. The component power consumptions are provided to the controllers. A node power consumption for the node is determined based, at least in part, on the component power consumption. The power cap is determined for the plurality of components. A power differential power is determined as a difference between the node power consumption and the power cap for the plurality of components. A proportion of the node power consumption consumed by the component is determined based on the component power consumption of the component. A local power budget is computed for the component based, at least in part, on the power differential and the proportion of the node power consumption consumed by the component.
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 statistical determination of power circuit connectivity based on signal detection in a circuit. Signal data from the circuit gathered and a determination is made as to whether a signal of interest is present in the gathered signal data from the circuit using a statistical analysis of the gathered signal data. The statistical analysis comprises using a mean current value and statistical deviation of the current value of the signal data over a predetermined period of time to compute a confidence range. The confidence range is compared to a first threshold and a second threshold. A determination is made that the signal is present in response to the confidence range being above the first threshold. A determination is made that the signal is not present in response to the confidence range being below the second threshold.
Abstract:
Systems and techniques that facilitate automated validation of power topology are provided. In various embodiments, a control component can transmit a transition command to a power-distribution node of a data center, wherein the transition command can cause an outlet of the power-distribution node to transition between power states. In various aspects, a verification component can verify that a power-consumption node of the data center is connected to the outlet by comparing a pre-transition power characteristic of the power-consumption node with a post-transition power characteristic of the power-consumption node.
Abstract:
A system is configured to determine a dominant error causing a provisioning step to become stuck during provisioning of a machine in a cloud environment. The system includes memory for storing instructions, and a processor configured to execute said instructions to determine an inverse error frequency (IEF) value for pre-intervention errors in a set of intervention provisioning data; determine a dominant error for a provision during said provisioning step in said set of intervention provisioning data based on a pre-intervention error that has a maximum IEF value; determine a duration frequency (DuF) value for the provision at said provisioning step for provisions in a set of non-intervention provisioning data; and determine said dominant error for each provision during said provisioning step in said set of non-intervention provisioning data based on an error that resulted in DuF value.
Abstract:
Systems and techniques that facilitate automated validation of power topology are provided. In various embodiments, a control component can transmit a transition command to a power-distribution node of a data center, wherein the transition command can cause an outlet of the power-distribution node to transition between power states. In various aspects, a verification component can verify that a power-consumption node of the data center is connected to the outlet by comparing a pre-transition power characteristic of the power-consumption node with a post-transition power characteristic of the power-consumption node.
Abstract:
Technology for computing number of active servers needed over time in a cloud/compute cluster includes the following operations (not necessarily in the following order): (i) determining the capacity of each VCE provisioned on the cloud against the resource guaranteed to that VCE; (ii) forecasting the resource needs over time using historical requests for each VCE flavor; and (iii) using the forecasted resource needs to determine the required number of future servers at some future time. Some embodiments of the present invention use a formula that accounts for the interplay among various parameter values of the VCE flavors and also the mapping of the needs of VCEs of various flavors to the capabilities of physical resources.