公开(公告)号：US20060080658A1

公开(公告)日：2006-04-13

申请号：US10960572

申请日：2004-10-07

申请人： Neal Marion ,  Shawn Mullen ,  George Ramsay ,  Gerald Tesauro ,  James Tesauro

发明人： Neal Marion ,  Shawn Mullen ,  George Ramsay ,  Gerald Tesauro ,  James Tesauro

IPC分类号： G06F9/445

CPC分类号： G06F9/5011 ,  G06F8/61 ,  G06F11/36

摘要： Methods, systems, and products are provided for peer-to-peer computer software installation. Embodiments include receiving, by an observing install agent running on an observing host from a test install agent running on a test host, performance information describing the performance of software installed on the test host; determining, by the observing install agent, whether the performance information meets performance criteria for the observing host; and if the performance information meets the performance criteria for the observing host, installing the software on the observing host. In some embodiments, determining, by the observing install agent, whether the performance information meets performance criteria for the observing host is carried out by determining, whether the performance information meets performance criteria for the observing host in dependence upon a rule.

摘要翻译： 为对等计算机软件安装提供了方法，系统和产品。 实施例包括：从在测试主机上运行的测试安装代理在观察主机上运行的观察安装代理接收描述安装在测试主机上的软件的性能的性能信息; 由观察安装代理确定性能信息是否符合观测主机的性能标准; 并且如果性能信息符合观测主机的性能标准，则在观察主机上安装该软件。 在一些实施例中，通过观察安装代理确定性能信息是否符合观测主机的性能标准，通过确定性能信息是否符合观测主机的规则来执行。

公开(公告)号：US20050172291A1

公开(公告)日：2005-08-04

申请号：US10768563

申请日：2004-01-30

申请人： Rajarshi Das ,  Jeffrey Kephart ,  Gerald Tesauro ,  William Walsh

发明人： Rajarshi Das ,  Jeffrey Kephart ,  Gerald Tesauro ,  William Walsh

IPC分类号： G06F9/46 ,  G06F9/50

CPC分类号： G06F9/5027 ,  G06F9/5083

摘要： In one embodiment, the present invention is a method for allocation of finite computational resources amongst multiple entities, wherein the method is structured to optimize the business value of an enterprise providing computational services. One embodiment of the inventive method involves establishing, for each entity, a service level utility indicative of how much business value is obtained for a given level of computational system performance. The service-level utility for each entity is transformed into a corresponding resource-level utility indicative of how much business value may be obtained for a given set or amount of resources allocated to the entity. The resource-level utilities for each entity are aggregated, and new resource allocations are determined and executed based upon the resource-level utility information. The invention is thereby capable of making rapid allocation decisions, according to time-varying need or value of the resources by each of the entities.

摘要翻译： 在一个实施例中，本发明是一种用于在多个实体之间分配有限计算资源的方法，其中该方法被构造为优化提供计算服务的企业的商业价值。 本发明方法的一个实施例涉及为每个实体建立一个服务级别实用程序，其指示针对给定级别的计算系统性能获得多少商业价值。 每个实体的服务级别实用程序被转换成相应的资源级实用程序，指示可以为给定的集合或分配给该实体的资源量获得多少商业价值。 聚合每个实体的资源级实用程序，并根据资源级实用程序信息确定和执行新的资源分配。 因此，本发明能够根据每个实体的时间变化需要或资源价值进行快速分配决定。

公开(公告)号：US20070245004A1

公开(公告)日：2007-10-18

申请号：US11406019

申请日：2006-04-18

申请人： David Chess ,  Rajashi Das ,  James Hanson ,  Alla Segal ,  Gerald Tesauro ,  Ian Whalley

发明人： David Chess ,  Rajashi Das ,  James Hanson ,  Alla Segal ,  Gerald Tesauro ,  Ian Whalley

IPC分类号： G06F15/173 ,  G06F15/177

CPC分类号： H04L41/145

摘要： Methods and systems are provided for autonomic control and optimization of computing systems. A plurality of component models for one or more components in an autonomic computing system are maintained in a system level database. These component models are obtained from a source external to the management server including the components associated with the models. Component models are added or removed from the database or updated as need. A system level management server in communication with the database utilizes the component models maintained in the system level database and generic component models as needed to compute an optimum state of the autonomic computing system. The autonomic computing system is managed in accordance with the computed optimum state.

摘要翻译： 提供了方法和系统用于计算系统的自主控制和优化。 在自动计算系统中的一个或多个组件的多个组件模型被保持在系统级数据库中。 这些组件模型从管理服务器外部的源获得，包括与模型相关的组件。 组件模型从数据库中添加或删除，或根据需要进行更新。 与数据库通信的系统级管理服务器根据需要利用维护在系统级数据库和通用组件模型中的组件模型来计算自主计算系统的最佳状态。 根据计算出的最优状态管理自主计算系统。

公开(公告)号：US20070203871A1

公开(公告)日：2007-08-30

申请号：US11337311

申请日：2006-01-23

申请人： Gerald Tesauro ,  Rajarshi Das ,  Nicholas Jong ,  Jeffrrey Kephart

发明人： Gerald Tesauro ,  Rajarshi Das ,  Nicholas Jong ,  Jeffrrey Kephart

IPC分类号： G06F17/00

CPC分类号： G06Q10/06 ,  G06N3/006 ,  G06N20/00

摘要： In one embodiment, the present invention is a method for reward-based learning of improved systems management policies. One embodiment of the inventive method involves supplying a first policy and a reward mechanism. The first policy maps states of at least one component of a data processing system to selected management actions, while the reward mechanism generates numerical measures of value responsive to particular actions (e.g., management actions) performed in particular states of the component(s). The first policy and the reward mechanism are applied to the component(s), and results achieved through this application (e.g., observations of corresponding states, actions and rewards) are processed in accordance with reward-based learning to derive a second policy having improved performance relative to the first policy in at least one state of the component(s).

摘要翻译： 在一个实施例中，本发明是改进的系统管理策略的基于奖励学习的方法。 本发明方法的一个实施例涉及提供第一策略和奖励机制。 第一策略将数据处理系统的至少一个组件的状态映射到所选择的管理动作，而奖励机制响应于在组件的特定状态中执行的特定动作（例如，管理动作）生成值的数值测量。 第一个政策和奖励机制适用于组件，通过此应用程序实现的结果（例如，对应的状态，行动和奖励的观察）根据奖励学习进行处理，以得到改进的第二个策略 在组件的至少一个状态下相对于第一策略的性能。