Resource entitlement control system controlling resource entitlement based on automatic determination of a target utilization and controller gain
    1.
    发明授权
    Resource entitlement control system controlling resource entitlement based on automatic determination of a target utilization and controller gain 有权
    基于自动确定目标利用率和控制器增益的资源授权控制系统控制资源授权

    公开(公告)号:US07676578B1

    公开(公告)日:2010-03-09

    申请号:US11492307

    申请日:2006-07-25

    CPC分类号: G06F11/3409 G06F11/3447

    摘要: A control system for controlling resource entitlement for a resource compartment in a resource-on-demand system includes nested loops. An inner loop includes an adaptive feedback control system including an adaptive controller operable to automatically determining a gain for the control system. The gain varies depending on a demand of the resource compartment in a previous interval, and the adaptive controller is operable to determine a resource entitlement for the resource compartment for a current interval based on the gain and a target utilization for the current interval. An outer loop includes a feedback control system operable to automatically determine the target utilization for the current interval, wherein the target utilization varies based on at least one QoS metric measured for the previous interval and a QoS metric target.

    摘要翻译: 用于控制资源需求系统中资源隔间资源授权的控制系统包括嵌套循环。 内循环包括自适应反馈控制系统,其包括可自动确定控制系统的增益的自适应控制器。 所述增益取决于在先前间隔中所述资源隔间的需求,并且所述自适应控制器可操作以基于所述增益和所述当前间隔的目标利用率来确定当前间隔的资源隔间的资源授权。 外环包括可操作以自动确定当前间隔的目标利用率的反馈控制系统,其中目标利用率基于针对先前间隔测量的至少一个QoS度量和QoS度量目标而变化。

    Dynamically Resizing A Virtual Machine Container
    2.
    发明申请
    Dynamically Resizing A Virtual Machine Container 有权
    动态调整虚拟机容器的大小

    公开(公告)号:US20090158275A1

    公开(公告)日:2009-06-18

    申请号:US12263425

    申请日:2008-10-31

    IPC分类号: G06F9/46 G06F9/455

    CPC分类号: G06F9/5077

    摘要: Embodiments of the present invention pertain to dynamically resizing a virtual machine container. According to one embodiment, an optimal utilization is determined based on a desired performance for a multi-tiered application and transaction mix information that describes a mix of transactions that result from executing the multi-tiered application. Automatic modification of an amount of a physical resource a virtual machine container is entitled to for executing a particular application component associated with the multi-tiered application is enabled where the amount is automatically modified based on the optimal utilization.

    摘要翻译: 本发明的实施例涉及动态地调整虚拟机容器的大小。 根据一个实施例,基于用于描述由执行多层应用产生的事务的混合的多层应用和事务混合信息的期望性能来确定最佳利用。 启用虚拟机容器有权执行与多层应用程序相关联的特定应用程序组件的物理资源量的自动修改,其中该量基于最佳利用率自动修改。

    Control of a computing system having adjustable inputs
    3.
    发明授权
    Control of a computing system having adjustable inputs 有权
    具有可调输入的计算系统的控制

    公开(公告)号:US09143554B2

    公开(公告)日:2015-09-22

    申请号:US12250256

    申请日:2008-10-13

    IPC分类号: H04L12/28 H04L29/08 H04J1/16

    CPC分类号: H04L67/10

    摘要: A technique for controlling an output of a computing system having multiple adjustable inputs includes providing a set of adjustable inputs to the computing system, observing an output of the computing system while the system is in operation, and selecting a subset of adjustable inputs from the set of adjustable inputs based on the observation of the output. The inputs in the selected subset are then adjusted to achieve a desired output of the computing system.

    摘要翻译: 用于控制具有多个可调输入的计算系统的输出的技术包括向系统运行时提供一组可调输入,在系统运行时观察计算系统的输出,以及从该组中选择可调输入的子集 基于观察输出的可调输入。 然后调整所选子集中的输入以实现计算系统的期望输出。

    AUTOMATICALLY MANAGING RESOURCES AMONG NODES
    6.
    发明申请
    AUTOMATICALLY MANAGING RESOURCES AMONG NODES 审中-公开
    自动管理NODES资源

    公开(公告)号:US20100115095A1

    公开(公告)日:2010-05-06

    申请号:US12262392

    申请日:2008-10-31

    IPC分类号: G06F15/173

    CPC分类号: H04L67/12

    摘要: A system for managing resources automatically among nodes includes a node controller configured to dynamically manage allocation of node resources to individual workloads, where each of the nodes is contained in one of a plurality of pods. The system also includes a pod controller configured to manage live migration of workloads between nodes within one of the plurality of pods, where the plurality of pods are contained in a pod set. The system further includes a pod set controller configured to manage capacity planning for the pods contained in the pod set. The node controller, the pod controller and the pod set controller are interfaced with each other to enable the controllers to meet common service policies in an automated manner. The node controller, the pod controller and the pod set controller are also interfaced with a common user interface to receive service policy information.

    摘要翻译: 用于在节点之间自动管理资源的系统包括节点控制器,该节点控制器被配置为动态地管理节点资源对各个工作负载的分配,其中每个节点包含在多个容器之一中。 该系统还包括一个荚控制器,其被配置为管理多个荚之一内的一个荚内的节点之间的工作负载的实时迁移,其中多个荚包含在荚组中。 系统还包括配置成管理容纳在容器组中的容器的容量规划的容器组控制器。 节点控制器,荚果控制器和荚果组控制器彼此接口,使得控制器能够以自动方式满足共同的服务策略。 节点控制器,pod控制器和pod集控制器也与公共用户接口连接以接收服务策略信息。

    Control of a Computing System Having Adjustable Inputs
    7.
    发明申请
    Control of a Computing System Having Adjustable Inputs 有权
    具有可调输入的计算系统的控制

    公开(公告)号:US20100091786A1

    公开(公告)日:2010-04-15

    申请号:US12250256

    申请日:2008-10-13

    IPC分类号: H04L12/56

    CPC分类号: H04L67/10

    摘要: A technique for controlling an output of a computing system having multiple adjustable inputs includes providing a set of adjustable inputs to the computing system, observing an output of the computing system while the system is in operation, and selecting a subset of adjustable inputs from the set of adjustable inputs based on the observation of the output. The inputs in the selected subset are then adjusted to achieve a desired output of the computing system.

    摘要翻译: 用于控制具有多个可调输入的计算系统的输出的技术包括向系统运行时提供一组可调输入,在系统运行时观察计算系统的输出,以及从该组中选择可调输入的子集 基于观察输出的可调输入。 然后调整所选子集中的输入以实现计算系统的期望输出。

    Dynamically resizing a virtual machine container
    9.
    发明授权
    Dynamically resizing a virtual machine container 有权
    动态调整虚拟机容器大小

    公开(公告)号:US08566835B2

    公开(公告)日:2013-10-22

    申请号:US12263425

    申请日:2008-10-31

    IPC分类号: G06F9/46

    CPC分类号: G06F9/5077

    摘要: Embodiments of the present invention pertain to dynamically resizing a virtual machine container. According to one embodiment, an optimal utilization is determined based on a desired performance for a multi-tiered application and transaction mix information that describes a mix of transactions that result from executing the multi-tiered application. Automatic modification of an amount of a physical resource a virtual machine container is entitled to for executing a particular application component associated with the multi-tiered application is enabled where the amount is automatically modified based on the optimal utilization.

    摘要翻译: 本发明的实施例涉及动态地调整虚拟机容器的大小。 根据一个实施例,基于用于描述由执行多层应用产生的事务的混合的多层应用和事务混合信息的期望性能来确定最佳利用。 启用虚拟机容器有权执行与多层应用程序相关联的特定应用程序组件的物理资源量的自动修改,其中该量基于最佳利用率自动修改。

    Determining optimal settings for resource actuators
    10.
    发明授权
    Determining optimal settings for resource actuators 有权
    确定资源执行器的最佳设置

    公开(公告)号:US08355828B2

    公开(公告)日:2013-01-15

    申请号:US12404019

    申请日:2009-03-13

    IPC分类号: G06F1/28

    CPC分类号: G06F1/28 G06F1/3203

    摘要: A power model that relates the settings of resource actuators to power consumption levels of the resource actuators and a condition model that relates the settings of the resource actuators to an environmental condition at the location of the at least one entity and a power consumption level of the at least one entity are developed. A constraint optimization problem having an objective function and at least one constraint is formulated, where the objective function computes at least a proportional quantity of a total power consumption level of the resource actuators and the at least one constraint comprises a setpoint environmental condition at a location of the at least entity. A solution to the constraint optimization problem is determined, where the solution provides optimal values for the resource actuator settings.

    摘要翻译: 将资源执行器的设置与资源执行器的功率消耗水平相关联的功率模型以及将资源致动器的设置与至少一个实体的位置处的环境条件和 至少有一个实体被开发出来。 制定具有目标函数和至少一个约束的约束优化问题,其中目标函数计算资源致动器的总功耗水平的至少比例量,并且至少一个约束包括位置处的设定点环境条件 的至少实体。 确定约束优化问题的解决方案,其中解决方案为资源执行器设置提供最佳值。