| Patent application number | Description | Published |
|---|
| 20080320322 | Dynamic Converter Control for Efficient Operation - Dynamically managing power consumption in a computer system having at least two parallel power converters in order to improve efficiency. A maximum power capacity for each of the power converters is determined and then power consumption of the computer system is monitored. If the power consumption of the computer system can be provided by less than all of the parallel power converters then one or more of the power converters is turned off, such that a reduced number of parallel power converters remains turned on. A reduced maximum power capacity of the reduced number of parallel power converters is determined and a power cap value is set for the computer system that is less than or equal to the reduced maximum power capacity. The computer system is throttled at the power cap to prevent power consumption of the computer system from exceeding the power cap value. | 12-25-2008 |
| 20110022245 | AUTOMATED POWER TOPOLOGY DISCOVERY - Systems, methods, and other embodiments associated with automatically detecting and characterizing a power topology are described. One example system includes a topology logic that identifies connections between PDUs and computers that receive power from the PDUs. The example system may include a data store that receives PDU/computer association data from the topology logic. A computer may communicate with a power providing PDU over a power line connecting the two devices. The computer and the power providing PDU may be configured with network interface devices (e.g., Ethernet switches) configured to communicate over the power line using, for example, EoP. The topology logic may discover a PDU/CE association by examining data transmitted over a network to which the computer and/or the PDU are connected. | 01-27-2011 |
| 20110107126 | System and method for minimizing power consumption for a workload in a data center - A system and method are disclosed for minimizing power consumption for a workload in a data center having two or more computers. The system and method execute a server-centric management tool that provides a workload-power cost function to predict a cost of running a workload on a server. The workload-power cost function is executed by the processor and includes as an input a unique designation of the server. The workload-power cost function includes as an output the cost of running the workload on the server. The system and method provide the output of the workload-power cost function to a workload placement tool to efficiently place the workload. | 05-05-2011 |
