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1.发明授权Dynamic online multi-parameter optimization system and method for autonomic computing systems 失效动态在线多参数优化系统和自主计算系统的方法公开(公告)号：US08032615B2
公开(公告)日：2011-10-04
申请号：US12126291
申请日：2008-05-23
IPC分类号： G06F15/177
CPC分类号： G06F11/3447 , G06F11/3409 , G06F11/3452 , G06F2201/81 , G06F2201/86
摘要： A method and system performs dynamic online multi-parameter optimization for autonomic computing systems. A simplex is maintained. The system's performance is measured for the particular setting of configuration parameters associated with each point in the simplex. A new sample point is determined using the geometric transformations of the simplex. A current best point in the simplex can be resampled to determine if the environment has changed. If a sufficiently different utility value is obtained from a previously sampled utility value for the point in the simplex, the simplex is expanded. If the difference is not sufficient enough, then contraction of the simplex is performed.
摘要翻译： 一种方法和系统对自主计算系统进行动态在线多参数优化。 保持简单。 系统的性能是针对单纯形中与每个点相关联的配置参数的特定设置进行测量的。 使用单纯形的几何变换确定新的采样点。 可以对单纯形中的当前最佳点进行重新采样，以确定环境是否已更改。 如果从单纯形中的点的先前采样的效用值获得足够不同的效用值，则单纯形将被扩展。 如果差异不够，则进行单纯形状的收缩。
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2.发明申请Dynamic Online Multi-Parameter Optimization System and Method for Autonomic Computing Systems 失效动态在线多参数优化系统和自动计算系统的方法公开(公告)号：US20080221858A1
公开(公告)日：2008-09-11
申请号：US12126291
申请日：2008-05-23
IPC分类号： G06F9/45
CPC分类号： G06F11/3447 , G06F11/3409 , G06F11/3452 , G06F2201/81 , G06F2201/86
摘要： An improved method and system for performing dynamic online multi-parameter optimization for autonomic computing systems are provided. With the method and system of the present invention, a simplex, i.e. a set of points in the parameter space that has been directly sampled, is maintained. The system's performance with regard to a particular utility value is measured for the particular setting of configuration parameters associated with each point in the simplex. A new sample point is determined using the geometric transformations of the simplex. The method and system provide mechanisms for limiting the size of the simplex that is generated through these geometric transformations so that the present invention may be implemented in noisy environments in which the same configuration settings may lead to different results with regard to the utility value. In addition, mechanisms are provided for resampling a current best point in the simplex to determine if the environment has changed. If a sufficiently different utility value is obtained from a previously sampled utility value for the point in the simplex, then rather than contracting, the simplex is expanded. If the difference between utility values is not sufficient enough, then contraction of the simplex is performed. In addition, in order to allow for both real and integer valued parameters in the simplex, a mechanism is provided by which invalid valued parameters that are generated by geometric transformations being performed on the simplex are mapped to a nearest valid value. Similarly, parameter values that violate constraints are mapped to values that satisfy constraints taking care that the dimensionality of the simplex is not reduced.
摘要翻译： 提供了一种用于自动计算系统执行动态在线多参数优化的改进方法和系统。 利用本发明的方法和系统，维持单纯形，即直接采样的参数空间中的一组点。 关于特定效用值的系统的性能是针对与单工中的每个点相关联的配置参数的特定设置进行测量的。 使用单纯形的几何变换确定新的采样点。 该方法和系统提供了用于限制通过这些几何变换产生的单工的尺寸的机制，使得本发明可以在噪声环境中实现，其中相同的配置设置可能导致关于效用值的不同结果。 此外，还提供了用于对单纯形中当前最佳点进行重新采样以确定环境是否已更改的机制。 如果从单纯形中的点的先前采样的效用值获得足够不同的效用值，则而不是收缩，则单纯形被扩展。 如果效用值之间的差异不足够，则单纯形的收缩被执行。 此外，为了允许单纯形中的实数和整数值参数，提供了一种机制，通过这种机制，通过在单纯形上执行的几何变换生成的无效值参数被映射到最接近的有效值。 类似地，违反约束的参数值被映射到满足约束的值，注意单纯形的维度不会减小。
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3.发明申请Dynamic online multi-parameter optimization system and method for autonomic computing systems 审中-公开动态在线多参数优化系统和自主计算系统的方法公开(公告)号：US20050010388A1
公开(公告)日：2005-01-13
申请号：US10698880
申请日：2003-10-31
申请人： Saurabh Bagchi , Rajarshi Das , Yixin Diao , Marc Kaplan , Jeffrey Kephart
发明人： Saurabh Bagchi , Rajarshi Das , Yixin Diao , Marc Kaplan , Jeffrey Kephart
CPC分类号： G06F11/3447 , G06F11/3409 , G06F11/3452 , G06F2201/81 , G06F2201/86
摘要： An improved method and system for performing dynamic online multi-parameter optimization for autonomic computing systems are provided. With the method and system of the present invention, a simplex, i.e. a set of points in the parameter space that has been directly sampled, is maintained. The system's performance with regard to a particular utility value is measured for the particular setting of configuration parameters associated with each point in the simplex. A new sample point is determined using the geometric transformations of the simplex. The method and system provide mechanisms for limiting the size of the simplex that is generated through these geometric transformations so that the present invention may be implemented in noisy environments in which the same configuration settings may lead to different results with regard to the utility value. In addition, mechanisms are provided for resampling a current best point in the simplex to determine if the environment has changed. If a sufficiently different utility value is obtained from a previously sampled utility value for the point in the simplex, then rather than contracting, the simplex is expanded. If the difference between utility values is not sufficient enough, then contraction of the simplex is performed. In addition, in order to allow for both real and integer valued parameters in the simplex, a mechanism is provided by which invalid valued parameters that are generated by geometric transformations being performed on the simplex are mapped to a nearest valid value. Similarly, parameter values that violate constraints are mapped to values that satisfy constraints taking care that the dimensionality of the simplex is not reduced.
摘要翻译： 提供了一种用于自动计算系统执行动态在线多参数优化的改进方法和系统。 利用本发明的方法和系统，维持单纯形，即直接采样的参数空间中的一组点。 关于特定效用值的系统的性能是针对与单工中的每个点相关联的配置参数的特定设置进行测量的。 使用单纯形的几何变换确定新的采样点。 该方法和系统提供了用于限制通过这些几何变换产生的单工的尺寸的机制，使得本发明可以在噪声环境中实现，其中相同的配置设置可能导致关于效用值的不同结果。 此外，还提供了用于对单纯形中当前最佳点进行重新采样以确定环境是否已更改的机制。 如果从单纯形中的点的先前采样的效用值获得足够不同的效用值，则不是收缩，所以单纯形被扩展。 如果效用值之间的差异不足够，则单纯形的收缩被执行。 此外，为了允许单纯形中的实数和整数值参数，提供了一种机制，通过这种机制，通过在单纯形上执行的几何变换生成的无效值参数被映射到最接近的有效值。 类似地，违反约束的参数值被映射到满足约束的值，注意单纯形的维度不会减小。
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4.发明授权System and method for service offering for feedback controller design and implementation for performance management in information technology systems 失效用于反馈控制器设计和实施的服务提供系统和方法，用于信息技术系统中的性能管理公开(公告)号：US08196114B2
公开(公告)日：2012-06-05
申请号：US11750388
申请日：2007-05-18
申请人： Yixin Diao , Joseph Hellerstein , Sujay S. Parekh
发明人： Yixin Diao , Joseph Hellerstein , Sujay S. Parekh
CPC分类号： G06Q10/10
摘要： A software development service offering of constructing and embedding feedback control based algorithms into computer systems management software applications is delivered by a provider entity to a client organization. The provider is contracted by the client to prepare a set of control modeling assets based on identified computing system management problems and goals of the diem and to create a set of control solutions. Bi-directional links between the problems, assets and solutions are used by the provider to develop feedback control based algorithms that solve the identified client computing management problems and meet the client's computing system goals.
摘要翻译： 将供应商实体提供给客户机构的将计算机系统管理软件应用程序构建和嵌入基于反馈控制的算法的软件开发服务提供给客户机构。 客户根据确定的计算系统管理问题和目标，为客户准备一套控制建模资产，并创建一套控制解决方案。 问题，资产和解决方案之间的双向链接由供应商用于开发基于反馈控制的算法，以解决所识别的客户端计算管理问题并满足客户的计算系统目标。
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5.发明授权Method and apparatus for automatic uncertainty-based management feedback controller 有权自动不确定性管理反馈控制器的方法和装置公开(公告)号：US07716016B2
公开(公告)日：2010-05-11
申请号：US11479485
申请日：2006-06-30
IPC分类号： G06F11/30
CPC分类号： H04L67/22 , G06F11/3452 , G06F11/3466 , G06F11/3495 , G06F2201/81
摘要： Improved management feedback-based controller techniques are disclosed for use in accordance with a computing system. For example, a method for managing a computing system includes the following steps. At least one measured performance metric is obtained from the computing system being managed. At least one control input value is generated based on parameters including a control error and a control deadzone such that uncertainty associated with the computing system is accounted for in accordance with the parameters. The control error is determined from a computation comprising the at least one measured performance metric and at least one performance metric goal. The control deadzone is defined such that the control input value is not generated when the control error is within the control deadzone. The control input value is sent to the computing system to effectuate achievement of the at least one performance metric goal associated with the computing system.
摘要翻译： 公开了改进的基于管理反馈的控制器技术以根据计算系统使用。 例如，用于管理计算系统的方法包括以下步骤。 从被管理的计算系统获得至少一个测量的性能度量。 基于包括控制误差和控制死区的参数产生至少一个控制输入值，使得根据参数考虑与计算系统相关联的不确定性。 控制误差由包括至少一个测量性能度量和至少一个性能度量目标的计算确定。 控制死区被定义为当控制误差在控制死区内时不产生控制输入值。 将控制输入值发送到计算系统以实现与计算系统相关联的至少一个性能度量目标的实现。
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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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7.发明申请METHOD FOR SERVICE OFFERING COMPARITIVE IT MANAGEMENT ACTIVITY COMPLEXITY BENCHMARKING 审中-公开服务提供方法比较IT管理活动复杂度基准公开(公告)号：US20070282876A1
公开(公告)日：2007-12-06
申请号：US11422218
申请日：2006-06-05
申请人： Yixin Diao , Robert Filepp , Robert D. Kearney , Alexander Keller
发明人： Yixin Diao , Robert Filepp , Robert D. Kearney , Alexander Keller
IPC分类号： G06F7/00
CPC分类号： G06Q30/02 , G06Q10/06 , G06Q10/0637
摘要： The invention broadly and generally provides a database comprising at least one record, the aforesaid at least one record comprising: (a) solution metadata relating to an information technology solution; and (b) evaluation metadata relating to a complexity evaluation of the aforesaid information technology solution.
摘要翻译： 本发明广泛地并且通常提供包括至少一个记录的数据库，上述至少一个记录包括：（a）与信息技术解决方案有关的解决方案元数据; 和（b）与上述信息技术解决方案的复杂性评估相关的评估元数据。
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公开(公告)号：US20070282645A1
公开(公告)日：2007-12-06
申请号：US11422204
申请日：2006-06-05
IPC分类号： G06F17/50
CPC分类号： G06Q10/06 , G06Q10/063
摘要： The invention broadly and generally provides a method of quantifying the complexity of an information technology management process, the aforesaid method comprising: (a) obtaining process-related data for the aforesaid information technology management process; wherein the aforesaid process-related data defines: at least one task, at least one role, and any number of business items which can be transferred between a plurality of roles within the aforesaid at least one role while executing the aforesaid at least one task; (b) creating a set of process component complexity metrics by applying a process complexity model to the aforesaid process-related data, the aforesaid process complexity model comprising at least one relationship of properties selected from the roles, tasks, and business items; and (c) creating a value representing the complexity of the aforesaid information technology management process from the aforesaid set of process component complexity metrics. The method disclosed is particularly useful, where the aforesaid process-related data defines at least one task comprising a decision point.
摘要翻译： 本发明广泛地和一般地提供了量化信息技术管理过程的复杂性的方法，上述方法包括：（a）获得上述信息技术管理过程的过程相关数据; 其中上述过程相关数据定义：在执行上述至少一个任务期间，可以在上述至少一个角色之间的多个角色之间传送的至少一个任务，至少一个角色以及任何数量的商业项目; （b）通过将过程复杂度模型应用于上述过程相关数据来创建一组过程组件复杂性度量，上述过程复杂度模型包括从角色，任务和业务项目中选择的至少一个属性关系; 和（c）根据上述一组过程组件复杂性度量创建一个表示上述信息技术管理过程的复杂性的值。 所公开的方法特别有用，其中上述过程相关数据定义包括决策点的至少一个任务。
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公开(公告)号：US20050278381A1
公开(公告)日：2005-12-15
申请号：US10853835
申请日：2004-05-26
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。
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公开(公告)号：US09177269B2
公开(公告)日：2015-11-03
申请号：US12475035
申请日：2009-05-29
申请人： Yixin Diao , Richard Sobiesiak
发明人： Yixin Diao , Richard Sobiesiak
CPC分类号： G06F8/71 , G06Q10/04 , G06Q10/1097
摘要： An exemplary method for reducing complexity of at least one user task includes steps of calculating a complexity metric for the at least one user task; identifying one or more usability issues having a measurable impact on the complexity metric for the at least one user task; determining one or more recommendations for addressing at least one of the one or more usability issues; and displaying a representation of at least one of the one or more usability issues and of at least one of the one or more recommendations. In an illustrative embodiment, implementing any one of the one or more recommendations reduces the impact of the usability issue on the complexity metric of the at least one user task and thereby reduces a complexity of the at least one user task.
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