Facebook, Inc.

Qingyuan Deng

Qiang Wu

Sachin Kadloor

Bin Li

Chang-Hong Hsu

Disclosed embodiments include a method performed by a computing device of a computer system having a hierarchical arrangement of power nodes including servers. The method includes determining power utilization patterns of the servers, calculating asynchrony scores for the servers based on the power utilization patterns, and clustering the servers into clusters based on the asynchrony scores, where each cluster has servers that have synchronous utilization patterns. The method also includes allocating the servers to the hierarchical arrangement of power nodes by selecting servers from the clusters to reduce synchronous power utilization patterns by the hierarchical arrangement of power nodes.

Obtaining smoother power profile and improved peak-time throughput in datacenters

Embodiments are described for dynamically responding to demand for server computing resources. The embodiments can monitor performance of each of multiple computing systems in a data center, identify a particular computing system of the multiple computing systems for allocation of additional computing power, determine availability of an additional power supply to allocate to the identified computing system, and selectively enable or disable a turbo mode of processors associated with the computing devices.

Dynamically adapting to demand for server computing resources

Embodiments are described for dynamically responding to demand for server computing resources. The embodiments can monitor performance of each of multiple computing systems in a data center, identify a particular computing system of the multiple computing systems for allocation of additional computing power, determine availability of an additional power supply to allocate to the identified computing system, determine availability of a capacity on a power distribution line connected to the particular computing system to provide the additional power supply to the particular computing system, and allocate the additional computing power to the identified computing system as a function of the determined availability of the additional power supply and the determined availability of the capacity on the power distribution line. The computing systems selected for reducing power consumption can be selected based on a priority order.

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Bellevue, WA, United States of America

Qingyuan Deng