Client-selectable power source options for network-accessible service units

    公开(公告)号:US10817916B2

    公开(公告)日:2020-10-27

    申请号:US14028376

    申请日:2013-09-16

    Abstract: Methods and apparatus for client-selectable power source options for network-accessible service units are described. A programmatic interface is implemented to enable clients of a service to select, from among a plurality of power source categories including a renewable category and a non-renewable category, a power source category to be used for a service unit. Based on inputs received via the interface, the respective amounts of power to be obtained from renewable and non-renewable categories during a time period may be estimated. A verification operation comparing the estimated amounts to the amount of power that is actually obtained from the different sources may be performed.

    Adaptive throttling for shared resources

    公开(公告)号:US10193819B2

    公开(公告)日:2019-01-29

    申请号:US15454958

    申请日:2017-03-09

    Abstract: Customers of shared resources in a multi-tenant environment can have token buckets allocated that have an associated depth and fill rate, with each token enabling the customer to obtain an amount of work from a shared resource. A resource management system can monitor one or more system or output metrics, and can adjust a global fill rate based at least in part upon values of the monitored metrics. Such an approach can provide a fair distribution of work among the customers, while ensuring that the metrics stay within acceptable ranges and there are no drastic changes in performance levels of the system. The fill rate can update dynamically with changes in the monitored parameters, such that the system can float near an equilibrium point. Commitments for specific minimum service levels also can be met.

    ADAPTIVE THROTTLING FOR SHARED RESOURCES
    48.
    发明申请

    公开(公告)号:US20170180254A1

    公开(公告)日:2017-06-22

    申请号:US15454958

    申请日:2017-03-09

    Abstract: Customers of shared resources in a multi-tenant environment can have token buckets allocated that have an associated depth and fill rate, with each token enabling the customer to obtain an amount of work from a shared resource. A resource management system can monitor one or more system or output metrics, and can adjust a global fill rate based at least in part upon values of the monitored metrics. Such an approach can provide a fair distribution of work among the customers, while ensuring that the metrics stay within acceptable ranges and there are no drastic changes in performance levels of the system. The fill rate can update dynamically with changes in the monitored parameters, such that the system can float near an equilibrium point. Commitments for specific minimum service levels also can be met.

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