Oracle America, Inc.

Oracle International Corporation

Sun Microsystems, Inc.

Ayse K Coskun

Kenny C Gross

Keith A Whisnant

Aleksey M Urmanov

Kalyanaraman Vaidyanathan

Kenneth Clayton Gross

David Belanger

A system for controlling energy usage in a server having a processor, where the system includes a memory for storing energy cost information, and a controller for determining a transaction rate for the processor. The controller is also for determining a cumulative of energy expended by the server based on the determined transaction rate for each of a number of available power level states (P-states) for operation of the processor, and for selecting one of the available P-states for operation of the processor based on the determined cumulative energy expended and the stored energy cost information.

System and method for controlling energy usage in a server

A computer system to schedule loads across a set of processor cores is described. During operation, the computer system receives a process to be executed. Next, the computer system obtains one or more thermodynamic process characteristics associated with the process and one or more thermodynamic processor-core characteristics associated with operation of the set of processor cores. Then, the computer system schedules the process to be executed by at least one of the processor cores based on the one or more thermodynamic process characteristics and the one or more thermodynamic processor-core characteristics.

Temperature-aware and energy-aware scheduling in a computer system

Some embodiments of the present invention provide a system that controls temperature variations in a computer system. During operation, a telemetry variable of the computer system is monitored. Next, a future temperature of the computer system is predicted based on the telemetry variable. A signal is then generated in response to the future temperature. Then, the signal is sent to a cooling device in the computer system to control temperature variations of the computer system.

Method and apparatus for controlling temperature variations in a computer system

Some embodiments of the present invention provide a system that manages a performance of a computer system. During operation, a current expert policy in a set of expert policies is executed, wherein the expert policy manages one or more aspects of the performance of the computer system. Next, a set of performance parameters of the computer system is monitored during execution of the current expert policy. Then, a next expert policy in the set of expert policies is dynamically selected to manage the performance of the computer system, wherein the next expert policy is selected based on the monitored set of performance parameters to improve an operational metric of the computer system.

Managing the performance of a computer system

A computer system that schedules loads across a set of processor cores is described. During operation, the computer system receives thermal measurements from sensors associated with the set of processor cores, and removes noise from the thermal measurements. Then, the computer system analyzes thermal properties of the set of processor cores based on the thermal measurements. Next, the computer system receives a process to be executed, and schedules the process to be executed by at least one of the processor cores based on the analysis. This scheduling is performed in a manner that reduces spatial and temporal thermal variations in the integrated circuit.

Workload scheduling in multi-core processors

Embodiments of the present invention provide a system that characterizes the reliability of a computer system. The system first collects samples of a performance parameter from the computer system. Next, the system computes the length of a line between the samples, wherein the line includes a component which is proportionate to a difference between values of the samples and a component which is proportionate to a time interval between the samples. The system then adds the computed length to a cumulative length variable which can be used to characterize the reliability of the computer system.

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La Jolla, CA, United States of America

Ayse K Coskun