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    Systems and methods for business-level resource optimizations in computing utilities
    5.
    发明申请
    Systems and methods for business-level resource optimizations in computing utilities 失效
    计算实用程序中业务级资源优化的系统和方法

    公开(公告)号：US20060112075A1

    公开(公告)日：2006-05-25

    申请号：US10993269

    申请日：2004-11-19

    申请人： Joseph Hellerstein ,  Kaan Katircioglu ,  Maheswaran Surendra

    发明人： Joseph Hellerstein ,  Kaan Katircioglu ,  Maheswaran Surendra

    IPC分类号： G06F17/30

    CPC分类号： G06Q10/06 ,  Y10S707/99933 ,  Y10S707/99935 ,  Y10S707/99943

    摘要： Techniques are provided for use in accordance with relates to computing utilities. For example, in one aspect of the invention, a method for use in a computing utility, wherein the computing utility comprises a plurality of application service provider systems and a utility controller, and each application service provider system comprising an application controller, comprises the following steps. An application request to one of the plurality of application service provider systems is obtained. Then, in response to the application request, at least one of: (i) the application controller of the application service provider system to which the application request is directed computes a value of a business metric associated with a resource action; and (ii) the utility controller computes a value of a business metric associated with a resource action.

    摘要翻译： 根据与计算实用程序有关的技术被提供用于使用。 例如，在本发明的一个方面，一种在计算实用程序中使用的方法，其中所述计算实用程序包括多个应用服务提供者系统和效用控制器，并且包括应用控制器的每个应用服务提供商系统包括以下 脚步。 获得对多个应用服务提供商系统之一的应用请求。 然后，响应于所述应用请求，至少一个：（i）应用请求所针对的应用服务提供商系统的应用控制器计算与资源动作相关联的业务度量的值; 和（ii）公用事业控制器计算与资源动作相关联的业务度量的值。

    Method and apparatus for online sample interval determination
    6.
    发明申请
    Method and apparatus for online sample interval determination 审中-公开
    在线采样间隔确定的方法和装置

    公开(公告)号：US20050278381A1

    公开(公告)日：2005-12-15

    申请号：US10853835

    申请日：2004-05-26

    申请人： Yixin Diao ,  Joseph Hellerstein ,  Sam Lightstone ,  Adam Storm ,  Maheswaran Surendra

    发明人： Yixin Diao ,  Joseph Hellerstein ,  Sam Lightstone ,  Adam Storm ,  Maheswaran Surendra

    IPC分类号： G06F12/00

    CPC分类号： G06F11/3495 ,  G06F9/5016 ,  G06F9/5033 ,  G06F11/3419 ,  G06F11/3452 ,  G06F2201/87

    摘要： In one embodiment, functional system elements are added to an autonomic manager to enable automatic online sample interval selection. In another embodiment, a method for determining the sample interval by continually characterizing the system workload behavior includes monitoring the system data and analyzing the degree to which the workload is stationary. This makes the online optimization method less sensitive to system noise and capable of being adapted to handle different workloads. The effectiveness of the autonomic optimizer is thereby improved, making it easier to manage a wide range of systems.

    摘要翻译： 在一个实施例中，将功能系统元件添加到自主管理器以启用自动在线采样间隔选择。 在另一个实施例中，用于通过连续地表征系统工作负载行为来确定采样间隔的方法包括监视系统数据并分析工作负载静止的程度。 这使得在线优化方法对系统噪声不太敏感，并且能够适应于处理不同的工作负载。 从而改进了自主优化器的有效性，从而更容易地管理广泛的系统。

    Systems and methods for providing constrained optimization using adaptive regulatory control
    7.
    发明申请
    Systems and methods for providing constrained optimization using adaptive regulatory control 有权
    使用自适应调节控制提供约束优化的系统和方法

    公开(公告)号：US20050268063A1

    公开(公告)日：2005-12-01

    申请号：US10853845

    申请日：2004-05-25

    申请人： Yixin Diao ,  Christian Garcia-Arellano ,  Joseph Hellerstein ,  Sam Lightstone ,  Sujay Parekh ,  Adam Storm ,  Maheswaran Surendra

    发明人： Yixin Diao ,  Christian Garcia-Arellano ,  Joseph Hellerstein ,  Sam Lightstone ,  Sujay Parekh ,  Adam Storm ,  Maheswaran Surendra

    IPC分类号： G06F9/50 ,  G06F12/00

    CPC分类号： G06F9/5083

    摘要： Systems and methods are provided for optimizing the performance and/or allocation of constrained resources in a dynamic computing environment using adaptive regulatory control methods. For example, systems and methods for providing constrained optimization in a dynamic computing system implement model-based adaptive (self-tuning) regulatory control schemes that are designed to handle the system dynamics and which take into consideration control costs (such as the overheads of changing resource allocations and performance degradation due to transient load imbalances) to find an optimal solution. To facilitate practical application, a dual control architecture is disclosed which combines a heuristic fixed step control process that is implemented when there is no valid system model for model-based control. A system model is continually obtained and validated during run-time to adapt control parameters to variations in system dynamics.

    摘要翻译： 提供的系统和方法用于使用自适应调节控制方法来优化动态计算环境中约束资源的性能和/或分配。 例如，用于在动态计算系统中提供约束优化的系统和方法实施基于模型的自适应（自调节）调节控制方案，其被设计为处理系统动态并考虑到控制成本（例如变化的开销 资源分配和由于瞬态负载不平衡引起的性能下降），以找到最佳解决方案。 为了便于实际应用，公开了一种双控制架构，其结合了当没有用于基于模型的控制的有效系统模型时实现的启发式固定步长控制过程。 系统模型在运行期间不断获得和验证，以使控制参数适应系统动态变化。

    Cross-tier management in multi-tier computing system architecture
    8.
    发明授权
    Cross-tier management in multi-tier computing system architecture 失效
    多层次计算系统架构中的跨层管理

    公开(公告)号：US08473603B2

    公开(公告)日：2013-06-25

    申请号：US12119828

    申请日：2008-05-13

    申请人： Yixin Diao ,  Hidayatullah Habeebullah Shaikh ,  Maheswaran Surendra

    发明人： Yixin Diao ,  Hidayatullah Habeebullah Shaikh ,  Maheswaran Surendra

    IPC分类号： G06F15/173

    CPC分类号： H04L41/00

    摘要： Techniques are disclosed for providing cross-tier management in a multi-tier computing system architecture. For example, a method for managing a computing system, wherein the computing system includes a first tier and at least a second tier, wherein the first tier and the second tier are configured to respond to a request received by the computing system, includes the steps of monitoring performance of the second tier from the first tier, and sending one or more management commands from the first tier to the second tier based on the monitored performance. In one embodiment, the first tier may be an application server tier of the computing system, and the second tier may be a database server tier of the computing system.

    摘要翻译： 公开了用于在多层计算系统架构中提供跨层管理的技术。 例如，一种用于管理计算系统的方法，其中所述计算系统包括第一层和至少第二层，其中所述第一层和所述第二层被配置为响应所述计算系统接收到的请求，所述步骤包括以下步骤 监视来自第一层的第二层的性能，以及基于所监视的性能将一个或多个管理命令从第一层发送到第二层。 在一个实施例中，第一层可以是计算系统的应用服务器层，并且第二层可以是计算系统的数据库服务器层。

    METHOD AND APPARATUS FOR ONLINE SAMPLE INTERVAL DETERMINATION
    9.
    发明申请
    METHOD AND APPARATUS FOR ONLINE SAMPLE INTERVAL DETERMINATION 审中-公开
    在线样品间隔测定的方法和装置

    公开(公告)号：US20130013785A1

    公开(公告)日：2013-01-10

    申请号：US13617901

    申请日：2012-09-14

    申请人： YIXIN DIAO ,  Joseph L. Hellerstein ,  Sam Sampson Lightstone ,  Adam J. Storm ,  Maheswaran Surendra

    发明人： YIXIN DIAO ,  Joseph L. Hellerstein ,  Sam Sampson Lightstone ,  Adam J. Storm ,  Maheswaran Surendra

    IPC分类号： G06F15/173

    CPC分类号： G06F11/3495 ,  G06F9/5016 ,  G06F9/5033 ,  G06F11/3419 ,  G06F11/3452 ,  G06F2201/87

    摘要： In one embodiment, functional system elements are added to an autonomic manager to enable automatic online sample interval selection. In another embodiment, a method for determining the sample interval by continually characterizing the system workload behavior includes monitoring the system data and analyzing the degree to which the workload is stationary. This makes the online optimization method less sensitive to system noise and capable of being adapted to handle different workloads. The effectiveness of the autonomic optimizer is thereby improved, making it easier to manage a wide range of systems.

    摘要翻译： 在一个实施例中，将功能系统元件添加到自主管理器以启用自动在线采样间隔选择。 在另一个实施例中，用于通过连续地表征系统工作负载行为来确定采样间隔的方法包括监视系统数据并分析工作负载静止的程度。 这使得在线优化方法对系统噪声不太敏感，并且能够适应于处理不同的工作负载。 从而改进了自主优化器的有效性，从而更容易地管理广泛的系统。