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    • 1. 发明授权
    • Virtualized application power budgeting
    • 虚拟化应用功率预算
    • US08645733B2
    • 2014-02-04
    • US13107806
    • 2011-05-13
    • Aman KansalJie LiuSean McGraneHarold Lim
    • Aman KansalJie LiuSean McGraneHarold Lim
    • G06F1/26G06F1/32
    • G06F1/3234G06F1/3203G06F1/329G06F9/5094Y02D10/22Y02D10/24
    • Virtualized application power budgeting can manage power budgeting for multiple applications in data centers. This power budgeting may be done in intelligent and/or dynamic ways and may be useful for updating power budgets, resolving conflicts in requests for power, and may improve the efficiency of the distribution of power to multiple applications.Virtualized application power budgeting can distinguish between priority applications and non-priority applications at a granular, virtual machine level and reduce the power consumption to only non-priority applications when there are power consumption conflicts. Virtualized application power budgeting may be able to determine the most efficient manner of providing power to each application in a data center. Further, virtualized application power budgeting may be able to distribute power according to application priority and other predetermined requirements and improve the efficiency of the power consumption by the devices in the data center.
    • 虚拟化应用功率预算可以管理数据中心中多个应用的​​功率预算。 这种功率预算可以以智能和/或动态的方式完成,并且对于更新功率预算,解决电力请求中的冲突可能是有用的,并且可以提高对多个应用的​​功率分配的效率。 虚拟化的应用程序功耗预算可以在细粒度的虚拟机器级别区分优先级应用程序和非优先级应用程序,并在存在功耗冲突时将功耗降低到仅非优先级应用程序。 虚拟化应用功率预算可能能够确定为数据中心中的每个应用提供电力的最有效的方式。 此外,虚拟化应用功率预算可以能够根据应用优先级和其他预定要求分配功率,并且提高数据中心中的设备的功率消耗的效率。
    • 3. 发明申请
    • Virtual Machine Power Usage Estimations
    • 虚拟机功耗使用估算
    • US20120239323A1
    • 2012-09-20
    • US13049485
    • 2011-03-16
    • Sean McGraneAman Kansal
    • Sean McGraneAman Kansal
    • G06F19/00G01R21/00
    • G06F1/3206
    • Provided herein is power usage estimation that may be applied to computing devices. Further, the power usage estimation may be determined per each thread, process and/or program running on the computing device, such as, for example, a virtual machine. Power meters may be associated with individual components in a computing device, the sum of the power consumption of the computing components being equal to the total power consumption of the computing device. Metrics for usage by a process may be associated with each component, from which power consumption profiles based on component usage by a process may be created. Estimations of power usage may be used in contracting, billing, ranking, system control, priority, output and the like. Estimations of power usage may also include a power consumption “learning” phase and a way of incorporating previously disregarded base power usage into the estimate of power consumption by a process.
    • 这里提供可以应用于计算设备的功率使用估计。 此外,可以对计算设备上运行的每个线程,处理和/或程序(例如虚拟机)确定功率使用估计。 功率计可以与计算设备中的各个组件相关联,计算组件的功耗之和等于计算设备的总功耗。 用于进程的使用的度量可以与每个组件相关联,基于过程的组件使用可以从其中创建功耗简档。 电力使用的估算可以用于承包,计费,排序,系统控制,优先级,输出等。 功率使用的估计还可以包括功耗“学习”阶段,以及将先前忽视的基本功率使用纳入过程的功耗估计的方式。
    • 4. 发明申请
    • Virtualized Application Power Budgeting
    • 虚拟化应用电源预算
    • US20120290865A1
    • 2012-11-15
    • US13107806
    • 2011-05-13
    • Aman KansalJie LiuSean McGraneHarold Lim
    • Aman KansalJie LiuSean McGraneHarold Lim
    • G06F1/26
    • G06F1/3234G06F1/3203G06F1/329G06F9/5094Y02D10/22Y02D10/24
    • Virtualized application power budgeting can manage power budgeting for multiple applications in data centers. This power budgeting may be done in intelligent and/or dynamic ways and may be useful for updating power budgets, resolving conflicts in requests for power, and may improve the efficiency of the distribution of power to multiple applications.Virtualized application power budgeting can distinguish between priority applications and non-priority applications at a granular, virtual machine level and reduce the power consumption to only non-priority applications when there are power consumption conflicts. Virtualized application power budgeting may be able to determine the most efficient manner of providing power to each application in a data center. Further, virtualized application power budgeting may be able to distribute power according to application priority and other predetermined requirements and improve the efficiency of the power consumption by the devices in the data center.
    • 虚拟化应用功率预算可以管理数据中心中多个应用的​​功率预算。 这种功率预算可以以智能和/或动态的方式完成,并且对于更新功率预算,解决电力请求中的冲突可能是有用的,并且可以提高对多个应用的​​功率分配的效率。 虚拟化的应用程序功耗预算可以在细粒度的虚拟机器级别区分优先级应用程序和非优先级应用程序,并在存在功耗冲突时将功耗降低到仅非优先级应用程序。 虚拟化应用功率预算可能能够确定为数据中心中的每个应用提供电力的最有效的方式。 此外,虚拟化应用功率预算可以能够根据应用优先级和其他预定要求分配功率,并且提高数据中心中的设备的功率消耗的效率。