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1. 发明申请

US20080263559A1 METHOD AND APPARATUS FOR UTILITY-BASED DYNAMIC RESOURCE ALLOCATION IN A DISTRIBUTED COMPUTING SYSTEM 失效
标题翻译：分布式计算系统中基于应用的动态资源分配的方法与装置
公开(公告)号：US20080263559A1
公开(公告)日：2008-10-23
申请号：US12164896
申请日：2008-06-30
申请人： RAJARSHI DAS , Jeffrey Owen Kephart , Gerald James Tesauro , William Edward Walsh
发明人： RAJARSHI DAS , Jeffrey Owen Kephart , Gerald James Tesauro , William Edward Walsh
IPC分类号： 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。

2. 发明申请

US20090012922A1 METHOD AND APPARATUS FOR REWARD-BASED LEARNING OF IMPROVED SYSTEMS MANAGEMENT POLICIES 失效
标题翻译：改进的系统管理政策的基于学习的方法和装置
公开(公告)号：US20090012922A1
公开(公告)日：2009-01-08
申请号：US12165144
申请日：2008-06-30
申请人： GERALD James TESAURO , RAJARSHI DAS , NICHOLAS K. JONG , JEFFREY O. KEPHART
发明人： GERALD James TESAURO , RAJARSHI DAS , NICHOLAS K. JONG , JEFFREY O. KEPHART
IPC分类号： G06F15/18
CPC分类号： G06Q10/06
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。

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