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

    公开(公告)号:US10528115B2

    公开(公告)日:2020-01-07

    申请号:US15709434

    申请日:2017-09-19

    Applicant: Facebook, Inc.

    Abstract: 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.

    DYNAMICALLY ADAPTING TO DEMAND FOR SERVER COMPUTING RESOURCES

    公开(公告)号:US20170195408A1

    公开(公告)日:2017-07-06

    申请号:US15262986

    申请日:2016-09-12

    Applicant: Facebook, Inc.

    Abstract: 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.

    Dynamically adapting to demand for server computing resources

    公开(公告)号:US10277523B2

    公开(公告)日:2019-04-30

    申请号:US15262986

    申请日:2016-09-12

    Applicant: Facebook, Inc.

    Abstract: 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.

    OBTAINING SMOOTHER POWER PROFILE AND IMPROVED PEAK-TIME THROUGHPUT IN DATACENTERS

    公开(公告)号:US20190086981A1

    公开(公告)日:2019-03-21

    申请号:US15709434

    申请日:2017-09-19

    Applicant: Facebook, Inc.

    CPC classification number: G06F1/324 G06F1/266 G06F1/3206 G06F1/3234 G06F1/3296

    Abstract: 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.

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