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1. 发明授权

US08645733B2 Virtualized application power budgeting 有权
标题翻译：虚拟化应用功率预算
公开(公告)号：US08645733B2
公开(公告)日：2014-02-04
申请号：US13107806
申请日：2011-05-13
申请人： Aman Kansal , Jie Liu , Sean McGrane , Harold Lim
发明人： Aman Kansal , Jie Liu , Sean McGrane , Harold Lim
IPC分类号： G06F1/26 , G06F1/32
CPC分类号： G06F1/3234 , G06F1/3203 , G06F1/329 , G06F9/5094 , Y02D10/22 , Y02D10/24
摘要： 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.
摘要翻译：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。

2. 发明申请

US20120290865A1 Virtualized Application Power Budgeting 有权
标题翻译：虚拟化应用电源预算
公开(公告)号：US20120290865A1
公开(公告)日：2012-11-15
申请号：US13107806
申请日：2011-05-13
申请人： Aman Kansal , Jie Liu , Sean McGrane , Harold Lim
发明人： Aman Kansal , Jie Liu , Sean McGrane , Harold Lim
IPC分类号： G06F1/26
CPC分类号： G06F1/3234 , G06F1/3203 , G06F1/329 , G06F9/5094 , Y02D10/22 , Y02D10/24
摘要： 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.
摘要翻译：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

US20130173513A1 CONTEXT-BASED DEVICE ACTION PREDICTION 有权
标题翻译：基于语境的设备行为预测
公开(公告)号：US20130173513A1
公开(公告)日：2013-07-04
申请号：US13340702
申请日：2011-12-30
申请人： David Chu , Aman Kansal , Jie Liu , Tingxin Yan
发明人： David Chu , Aman Kansal , Jie Liu , Tingxin Yan
IPC分类号： G06F15/18 , G06F9/46
CPC分类号： G06F9/4443 , G06F9/445 , G06F9/451 , G06N99/005
摘要： The described implementations relate to automatically performing device actions. One implementation can obtain a contextual value of a contextor. The implementation can decide, using a decision engine, whether to perform an action on a computing device based on the contextual value. In an instance when the decision engine decides that the action is to be performed, the implementation can perform the action on the computing device. The implementation can also update the decision engine using feedback related to the action. As a specific example, the action can be prelaunching an application before a user has requested to execute the application. Prelaunching the application can reduce application latency relative to waiting for the user to request to execute the application before launching the application.
摘要翻译：所描述的实现涉及自动执行设备动作。一个实现可以获得一个上下文的上下文值。该实现可以使用决策引擎来决定是否基于上下文值对计算设备执行动作。在决策引擎决定要执行动作的情况下，实现可以对计算设备执行动作。实施还可以使用与该动作相关的反馈更新决策引擎。作为具体示例，该操作可以在用户请求执行应用程序之前预先启动应用程序。预启动应用程序可以相对于等待用户在启动应用程序之前请求执行应用程序来减少应用程序延迟。

4. 发明申请

US20120023492A1 WORKLOAD INTERFERENCE ESTIMATION AND PERFORMANCE OPTIMIZATION 有权
标题翻译：工作干扰估计和性能优化
公开(公告)号：US20120023492A1
公开(公告)日：2012-01-26
申请号：US12843054
申请日：2010-07-26
申请人： Sriram Govindan , Jie Liu , Aman Kansal
发明人： Sriram Govindan , Jie Liu , Aman Kansal
IPC分类号： G06F9/46
CPC分类号： G06F9/5083 , G06F9/45533 , G06F9/52
摘要： Architecture that facilitates the estimation of interference among workloads (e.g., virtual machines) due to sharing of a shared resource (e.g., a shared cache of a computer processor), and optimization of a desired performance objective such as power or energy use in the presence of the interference. Estimation is to the extent of interference by characterizing the nature of shared resource usage and its effect on performance. Performance optimization is accomplished using metrics based on the above estimation, or alternatively, an explicit measurement of the interference effects. Methods are employed to estimate interference on the workload's performance with changes in availability of the shared resource or with combinations of other workloads sharing the same resource and allocating workloads to one or more physical computers or resources to workloads such that a desired performance objective is optimized. The methods can include allocating workloads on demand.
摘要翻译：由于共享共享资源（例如，计算机处理器的共享缓存），有助于估计工作负载（例如，虚拟机）之间的干扰的架构，以及优化所期望的性能目标，例如存在的功率或能量使用的干扰。通过描述共享资源使用的性质及其对性能的影响来估计干扰程度。使用基于上述估计的度量或者干扰效应的显式测量来实现性能优化。使用方法来估计对共享资源的可用性的改变或者共享相同资源的其他工作负载的组合的工作负载的性能的干扰，并且将工作负载分配给一个或多个物理计算机或资源到工作负载，使得期望的性能目标被优化。这些方法可以包括按需分配工作负载。

5. 发明授权

US09176841B2 Estimating application energy usage in a target device 有权
标题翻译：估计目标设备中的应用能耗
公开(公告)号：US09176841B2
公开(公告)日：2015-11-03
申请号：US13339358
申请日：2011-12-28
申请人： Aman Kansal , Ranveer Chandra , Jie Liu , Paramvir Bahl
发明人： Aman Kansal , Ranveer Chandra , Jie Liu , Paramvir Bahl
IPC分类号： G06F9/44 , G06F11/34 , G06F11/30
CPC分类号： G06F11/3457 , G06F11/3062 , G06F2201/865 , Y02D10/34
摘要： Embodiments provide implementations for estimating a test application's energy usage on a target device based on execution of the test application. Resource usage associated with the execution of the test application is measured. The measured resource usage is input into a power model of the target device to estimate the energy that the test application uses when executed on the target device. An emulation system is configured to execute the test application in a virtual execution environment using resource scaling and simulated target device application programming interfaces to substantially simulate the corresponding capabilities of the target device.
摘要翻译：实施例提供了基于测试应用的执行来估计测试应用在目标设备上的能量使用的实现。测量与执行测试应用程序相关联的资源使用情况。测量的资源使用量被输入到目标设备的功率模型中，以估计在目标设备上执行时测试应用使用的能量。仿真系统被配置为使用资源缩放和模拟的目标设备应用编程接口在虚拟执行环境中执行测试应用，以基本上模拟目标设备的对应能力。

6. 发明授权

US08775337B2 Virtual sensor development 有权
标题翻译：虚拟传感器开发
公开(公告)号：US08775337B2
公开(公告)日：2014-07-08
申请号：US13330457
申请日：2011-12-19
申请人： Paramvir Bahl , Aman Kansal , Romit Roy Choudhury , David Chiyuan Chu , Alastair Wolman , Jie Liu , Xuan Bao
发明人： Paramvir Bahl , Aman Kansal , Romit Roy Choudhury , David Chiyuan Chu , Alastair Wolman , Jie Liu , Xuan Bao
IPC分类号： G06F15/18
CPC分类号： G01D1/00 , G06N5/04
摘要： Embodiments include processes, systems, and devices for developing a virtual sensor. The virtual sensor includes one or more inference models. A decision engine utilizes an inference model associated with a mobile device to determine another inference model that is configured to accept physical sensor data from another mobile device. In this way, the virtual sensor can be developed for use with many mobile devices using initial inference models developed for a small number of mobile devices or a single mobile device. Embodiments also include methods to select mobile devices from which to request physical sensor data for virtual sensor input. Embodiments also include architectures that provide a library of virtual sensors.
摘要翻译：实施例包括用于开发虚拟传感器的过程，系统和设备。虚拟传感器包括一个或多个推理模型。决策引擎利用与移动设备相关联的推理模型来确定被配置为从另一移动设备接收物理传感器数据的另一推理模型。以这种方式，虚拟传感器可以开发用于许多移动设备，使用为少数移动设备或单个移动设备开发的初始推理模型。实施例还包括选择移动设备的方法，从中请求用于虚拟传感器输入的物理传感器数据。实施例还包括提供虚拟传感器库的架构。

7. 发明授权

US08707300B2 Workload interference estimation and performance optimization 有权
标题翻译：工作负载干扰估计和性能优化
公开(公告)号：US08707300B2
公开(公告)日：2014-04-22
申请号：US12843054
申请日：2010-07-26
申请人： Sriram Govindan , Jie Liu , Aman Kansal
发明人： Sriram Govindan , Jie Liu , Aman Kansal
IPC分类号： G06F9/46 , G06F9/455 , G06F11/00
CPC分类号： G06F9/5083 , G06F9/45533 , G06F9/52
摘要： Architecture that facilitates the estimation of interference among workloads (e.g., virtual machines) due to sharing of a shared resource (e.g., a shared cache of a computer processor), and optimization of a desired performance objective such as power or energy use in the presence of the interference. Estimation is to the extent of interference by characterizing the nature of shared resource usage and its effect on performance. Performance optimization is accomplished using metrics based on the above estimation, or alternatively, an explicit measurement of the interference effects. Methods are employed to estimate interference on the workload's performance with changes in availability of the shared resource or with combinations of other workloads sharing the same resource and allocating workloads to one or more physical computers or resources to workloads such that a desired performance objective is optimized. The methods can include allocating workloads on demand.
摘要翻译：由于共享共享资源（例如，计算机处理器的共享缓存），有助于估计工作负载（例如，虚拟机）之间的干扰的架构，以及优化所期望的性能目标，例如存在的功率或能量使用的干扰。通过描述共享资源使用的性质及其对性能的影响来估计干扰程度。使用基于上述估计的度量或者干扰效应的显式测量来实现性能优化。采用方法来估计对共享资源的可用性的改变或共享相同资源的其他工作负载的组合的工作负载性能的干扰，并且将工作负载分配给一个或多个物理计算机或资源到工作负载，使得期望的性能目标被优化。这些方法可以包括按需分配工作负载。

8. 发明授权

US09189252B2 Context-based device action prediction 有权
标题翻译：基于上下文的设备动作预测
公开(公告)号：US09189252B2
公开(公告)日：2015-11-17
申请号：US13340702
申请日：2011-12-30
申请人： David Chu , Aman Kansal , Jie Liu , Tingxin Yan
发明人： David Chu , Aman Kansal , Jie Liu , Tingxin Yan
IPC分类号： G06F15/18 , G06F9/46 , G06F9/44 , G06F9/445 , G06N99/00
CPC分类号： G06F9/4443 , G06F9/445 , G06F9/451 , G06N99/005
摘要： The described implementations relate to automatically performing device actions. One implementation can obtain a contextual value of a contextor. The implementation can decide, using a decision engine, whether to perform an action on a computing device based on the contextual value. In an instance when the decision engine decides that the action is to be performed, the implementation can perform the action on the computing device. The implementation can also update the decision engine using feedback related to the action. As a specific example, the action can be prelaunching an application before a user has requested to execute the application. Prelaunching the application can reduce application latency relative to waiting for the user to request to execute the application before launching the application.
摘要翻译：所描述的实现涉及自动执行设备动作。一个实现可以获得一个上下文的上下文值。该实现可以使用决策引擎来决定是否基于上下文值对计算设备执行动作。在决策引擎决定要执行动作的情况下，实现可以对计算设备执行动作。实施还可以使用与该动作相关的反馈更新决策引擎。作为具体示例，该操作可以在用户请求执行应用程序之前预先启动应用程序。预启动应用程序可以相对于等待用户在启动应用程序之前请求执行应用程序来减少应用程序延迟。

9. 发明授权

US08959526B2 Scheduling execution of complementary jobs based on resource usage 有权
标题翻译：根据资源使用计划执行补充作业
公开(公告)号：US08959526B2
公开(公告)日：2015-02-17
申请号：US13156542
申请日：2011-06-09
申请人： Aman Kansal , Weiwei Xiong , Jie Liu
发明人： Aman Kansal , Weiwei Xiong , Jie Liu
IPC分类号： G06F9/455 , G06F9/46 , G06F15/173 , G06F9/50
CPC分类号： G06F9/5077 , G06F2209/5019 , Y02D10/22 , Y02D10/36
摘要： The subject disclosure is directed towards executing jobs based on resource usage. When a plurality of jobs is received, one or more jobs are mapped to one or more other jobs based on which resources are fully utilized or overloaded. The utilization of these resources by the one or more jobs complements utilization of these resources by the one or more other jobs. The resources are partitioned at one or more servers in order to efficiently execute the one or more jobs and the one or more other jobs. The resources may be partitioned equally or proportionally based on the resource usage or priorities.
摘要翻译：主题公开针对基于资源使用执行作业。当接收到多个作业时，基于哪些资源被充分利用或过载地将一个或多个作业映射到一个或多个其他作业。通过一个或多个作业来利用这些资源补充了一个或多个其他作业对这些资源的利用。资源在一个或多个服务器上分区，以便有效地执行一个或多个作业和一个或多个其他作业。可以基于资源使用或优先级平均或成比例地划分资源。

10. 发明授权

US08862914B2 Virtual machine power consumption measurement and management 有权
标题翻译：虚拟机功耗测量与管理
公开(公告)号：US08862914B2
公开(公告)日：2014-10-14
申请号：US12714416
申请日：2010-02-26
申请人： Aman Kansal , Jie Liu , Douglas C. Burger , Arka Aloke Bhattacharya
发明人： Aman Kansal , Jie Liu , Douglas C. Burger , Arka Aloke Bhattacharya
IPC分类号： G06F1/32
CPC分类号： G06F1/3234 , G01R21/133 , G06F1/3203 , G06F1/3206 , G06F1/3228 , G06F1/329 , G06F11/3409 , G06F11/3423 , G06F11/3447 , G06F11/3466 , G06F2201/815 , G06F2201/865 , G06F2201/88 , Y02D10/34
摘要： Embodiments of the virtual machine power metering system and method measure the power consumption of individual virtual machines. Power meter measurements for a physical host server are converted into individual virtual machine power meters that measure the power consumption of each individual virtual machine residing on the host server. The virtual machine power consumption is computed by generating a power model using the total power consumption of the host server and resource utilization for a virtual machine. Optimal power model coefficients are computed using the power model. The energy used by the virtual machine is computed using one of two embodiments. Embodiments of the system and method also can be used to obtain the power consumption for a specific activity (such as a service, request, or search query). In addition, the virtual machine power metering can be used for virtual machine power capping to allow power oversubscription in virtualized environments.
摘要翻译：虚拟机功率计量系统和方法的实施例测量各个虚拟机的功耗。将物理主机服务器的功率计测量值转换为单独的虚拟机功率计，以测量驻留在主机服务器上的每个虚拟机的功耗。通过使用主机服务器的总功耗和虚拟机的资源利用率生成功率模型来计算虚拟机功耗。使用功率模型计算最佳功率模型系数。使用两个实施例中的一个来计算虚拟机使用的能量。系统和方法的实施例也可用于获得特定活动（例如服务，请求或搜索查询）的功耗。此外，虚拟机功率计量可用于虚拟机功率封顶，以允许虚拟化环境中的电力超额认购。

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