Abstract: A method for improving thermal efficiency in one or more data centers includes measuring a temperature at one or more computing devices having allocated thereto one or more computing workloads and determining whether the measured temperature exceeds a predetermined temperature threshold. If the predetermined temperature threshold is exceeded, sufficient computing workloads are migrated to one or more alternate computing devices to reduce the temperature at one or more of the computing devices to less than or equal to said predetermined temperature threshold. In accomplishing the method, there is provided a data orchestrator configured at least for receiving data concerning the measured temperature, determining whether the measured temperature exceeds the predetermined temperature threshold, and migrating one or more of the computing workloads to one or more alternate computing devices.

Abstract: A method for improving thermal efficiency in one or more data centers includes measuring a temperature at one or more computing devices having allocated thereto one or more computing workloads and determining whether the measured temperature exceeds a predetermined temperature threshold. If the predetermined temperature threshold is exceeded, sufficient computing workloads are migrated to one or more alternate computing devices to reduce the temperature at one or more of the computing devices to less than or equal to said predetermined temperature threshold. In accomplishing the method, there is provided a data orchestrator configured at least for receiving data concerning the measured temperature, determining whether the measured temperature exceeds the predetermined temperature threshold, and migrating one or more of the computing workloads to one or more alternate computing devices.

Abstract: A method is provided for continuous optimization of allocation of computing resources for a horizontally scalable application which has a cyclical load pattern wherein each cycle may be subdivided into a number of time slots. A computing resource allocation application pre-allocates computing resources at the beginning of a time slot based on a predicted computing resource consumption during that slot. During the servicing of the workload, a measuring application measures actual consumption of computing resources. On completion of servicing, the measuring application updates the predicted computing resource consumption profile, allowing optimal allocation of resources. Un-needed computing resources may be released, or may be marked as releasable, for use upon request by other applications, including applications having the same or lower priority than the original application.