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1.发明授权Methods and apparatus for managing computing deployment in presence of variable workload 有权用于在存在可变工作负载的情况下管理计算部署的方法和装置公开(公告)号：US07350186B2
公开(公告)日：2008-03-25
申请号：US10384973
申请日：2003-03-10
申请人： David Wiley Coleman , Steven E. Froehlich , Joseph L. Hellerstein , Lawrence S. Hsiung , Edwin Richie Lassettre , Todd William Mummert , Mukund Raghavachari , Lance Warren Russell , Maheswaran Surendra , Noshir Cavas Wadia , Peng Ye
发明人： David Wiley Coleman , Steven E. Froehlich , Joseph L. Hellerstein , Lawrence S. Hsiung , Edwin Richie Lassettre , Todd William Mummert , Mukund Raghavachari , Lance Warren Russell , Maheswaran Surendra , Noshir Cavas Wadia , Peng Ye
IPC分类号： G06F9/44
CPC分类号： G06F11/008
摘要： Automated or autonomic techniques for managing deployment of one or more resources in a computing environment based on varying workload levels. The automated techniques may comprise predicting a future workload level based on data associated with the computing environment. Then, an estimation is performed to determine whether a current resource deployment is insufficient, sufficient, or overly sufficient to satisfy the future workload level. Then, one or more actions are caused to be taken when the current resource deployment is estimated to be insufficient or overly sufficient to satisfy the future workload level. Actions may comprise resource provisioning, resource tuning and/or admission control.
摘要翻译： 基于不同的工作负载级别来管理计算环境中的一个或多个资源的部署的自动或自主技术。 自动化技术可以包括基于与计算环境相关联的数据预测未来的工作负载水平。 然后，执行估计以确定当前资源部署是否不充足，足够或过度足以满足未来的工作负载水平。 然后，当估计当前资源部署不足够或过度足以满足未来的工作负载级别时，会采取一个或多个动作。 动作可以包括资源调配，资源调整和/或准入控制。
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公开(公告)号：US08386995B2
公开(公告)日：2013-02-26
申请号：US11763726
申请日：2007-06-15
申请人： David Wiley Coleman , Steven E. Froehlich , Joseph L. Hellerstein , Lawrence S. Hsiung , Edwin Richie Lassettre , Todd William Mummert , Mukund Raghavachari , Lance Warren Russell , Maheswaran Surendra , Noshir Cavas Wadia , Peng Ye
发明人： David Wiley Coleman , Steven E. Froehlich , Joseph L. Hellerstein , Lawrence S. Hsiung , Edwin Richie Lassettre , Todd William Mummert , Mukund Raghavachari , Lance Warren Russell , Maheswaran Surendra , Noshir Cavas Wadia , Peng Ye
IPC分类号： G06F9/44
CPC分类号： G06F11/008
摘要： Automated or autonomic techniques for managing deployment of one or more resources in a computing environment based on varying workload levels. The automated techniques may comprise predicting a future workload level based on data associated with the computing environment. Then, an estimation is performed to determine whether a current resource deployment is insufficient, sufficient, or overly sufficient to satisfy the future workload level. Then, one or more actions are caused to be taken when the current resource deployment is estimated to be insufficient or overly sufficient to satisfy the future workload level. Actions may comprise resource provisioning, resource tuning and/or admission control.
摘要翻译： 用于根据不同的工作负载水平管理计算环境中的一个或多个资源的部署的自动或自主技术。 自动化技术可以包括基于与计算环境相关联的数据预测未来的工作负载水平。 然后，执行估计以确定当前资源部署是否不充足，足够或过度足以满足未来的工作负载水平。 然后，当估计当前资源部署不足够或过度足以满足未来的工作负载级别时，会采取一个或多个动作。 动作可以包括资源调配，资源调整和/或准入控制。
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公开(公告)号：US07039559B2
公开(公告)日：2006-05-02
申请号：US10385265
申请日：2003-03-10
申请人： Steven E. Froehlich , Joseph L. Hellerstein , Edwin Richie Lassettre , Todd William Mummert , Maheswaran Surendra
发明人： Steven E. Froehlich , Joseph L. Hellerstein , Edwin Richie Lassettre , Todd William Mummert , Maheswaran Surendra
IPC分类号： G06F3/05
CPC分类号： G06F9/5083 , G06F2209/5019
摘要： Techniques for performing adaptive and robust prediction. Prediction techniques are adaptive in that they use a minimal amount of historical data to make predictions, the amount of data being selectable. The techniques are able to learn quickly about changes in the workload traffic pattern and make predictions, based on such learning, that are useful for proactive response to workload changes. To counter the increased variability in the prediction as a result of using minimal history, robustness is improved by checking model stability at every time interval and revising the model structure as needed to meet designated stability criteria. Furthermore, the short term prediction techniques can be used in conjunction with a long term forecaster.
摘要翻译： 用于执行自适应和鲁棒预测的技术。 预测技术是自适应的，因为它们使用最少量的历史数据进行预测，数据量可选择。 这些技术能够快速了解工作负载流量模式的变化，并根据此类学习进行预测，对于对工作负载变化的主动响应非常有用。 为了应对由于使用最小历史而导致的预测增加的变异性，通过在每个时间间隔检查模型稳定性并根据需要修改模型结构来改善鲁棒性以满足指定的稳定性标准。 此外，短期预测技术可以与长期预报员结合使用。
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公开(公告)号：US07565655B2
公开(公告)日：2009-07-21
申请号：US10688742
申请日：2003-10-17
申请人： Yixin Diao , Frank N. Eskesen , Steven E. Froehlich , Joseph L. Hellerstein , Alexander Keller , Lisa F. Spainhower , Maheswaran Surendra
发明人： Yixin Diao , Frank N. Eskesen , Steven E. Froehlich , Joseph L. Hellerstein , Alexander Keller , Lisa F. Spainhower , Maheswaran Surendra
IPC分类号： G06F9/46
CPC分类号： G06F11/3447 , G06F11/3409 , G06F2201/815 , G06F2201/87
摘要： Techniques are provided for generically controlling one or more resources associated with at least one computing system. In one aspect of the invention, the technique comprises evaluating one or more performance metrics associated with the one or more resources given one or more configurations of the one or more resources. The technique then causes a change in the one or more configurations of the one or more resources based on the performance metric evaluating step. The one or more performance metrics and the one or more configurations are expressed in generic formats.
摘要翻译： 提供技术用于一般地控制与至少一个计算系统相关联的一个或多个资源。 在本发明的一个方面，该技术包括评估与给出一个或多个资源的一个或多个配置的一个或多个资源相关联的一个或多个性能度量。 然后，该技术基于性能度量评估步骤引起一个或多个资源的一个或多个配置的改变。 一个或多个性能指标和一个或多个配置以通用格式表示。
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公开(公告)号：US20080263563A1
公开(公告)日：2008-10-23
申请号：US12165009
申请日：2008-06-30
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： G06F9/50
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。
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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。
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公开(公告)号：US08347289B2
公开(公告)日：2013-01-01
申请号：US12165009
申请日：2008-06-30
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
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。
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公开(公告)号：US07953729B2
公开(公告)日：2011-05-31
申请号：US12197593
申请日：2008-08-25
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。
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公开(公告)号：US07496564B2
公开(公告)日：2009-02-24
申请号：US10993269
申请日：2004-11-19
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，并且每个包括应用控制器的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。
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公开(公告)号：US20080313160A1
公开(公告)日：2008-12-18
申请号：US12197593
申请日：2008-08-25
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量度的值; 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。
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