Profile-based product demand forecasting
    1.
    发明授权
    Profile-based product demand forecasting 失效
    基于简档的产品需求预测

    公开(公告)号:US06978249B1

    公开(公告)日:2005-12-20

    申请号:US09626191

    申请日:2000-07-28

    CPC classification number: G06Q30/02 G06Q10/06 G06Q30/0202

    Abstract: A product demand forecasting system includes a profile extractor that generates a demand profile of a new product yet to be introduced based on demand profiles of similar products already introduced. The profile extractor normalizes and averages the demand profiles of the similar products to obtain the demand profile of the new product. The forecasting system also includes a life-cycle demand predictor that generates a total life-cycle demand of the new product based on historical demand data of the similar products. A forecast creator is then coupled to the profile extractor and the demand predictor to generate a life-cycle demand forecast for the new product based on the demand profile and total life-cycle demand of the new product. A method of providing a life-cycle product demand forecast for a new product yet to be introduced is also described.

    Abstract translation: 产品需求预测系统包括配置文件提取器,其基于已经引入的类似产品的需求简档来生成尚待引入的新产品的需求简档。 轮廓提取器对同类产品的需求曲线进行归一化和平均,以获得新产品的需求曲线。 预测系统还包括生命周期需求预测器,根据同类产品的历史需求数据,生成新产品的总生命周期需求。 然后,预测创建者被耦合到简档提取器和需求预测器,以基于新产品的需求简档和总生命周期需求来生成新产品的生命周期需求预测。 还描述了为尚待引入的新产品提供生命周期产品需求预测的方法。

    Performance-data based server consolidation
    2.
    发明授权
    Performance-data based server consolidation 有权
    基于性能数据的服务器整合

    公开(公告)号:US08255516B1

    公开(公告)日:2012-08-28

    申请号:US11413349

    申请日:2006-04-28

    CPC classification number: H04L67/10

    Abstract: A method for server consolidation is provided. The method includes accessing performance data of a plurality of source servers, receiving multiple consolidation parameters for a desired target server, receiving selected configurations for a new target server, computing a minimum number of target servers required to consolidate the plurality of source servers based at least on the performance data, the selected configurations for the desired target server, and the multiple consolidation parameters, and deriving a bin-packing solution to the server consolidation based at least on the performance data, the selected configurations for the new target server, and the minimum number for the one or more performance metrics.

    Abstract translation: 提供了一种用于服务器整合的方法。 该方法包括访问多个源服务器的性能数据,为期望目标服务器接收多个合并参数,接收新目标服务器的选定配置,至少至少计算出合并多个源服务器所需的目标服务器的最小数量 关于性能数据,所期望的目标服务器的选定配置和多个合并参数,以及至少基于性能数据,新目标服务器的所选配置和 一个或多个性能指标的最小数量。

    Server consolidation
    5.
    发明授权
    Server consolidation 有权
    服务器合并

    公开(公告)号:US08606894B1

    公开(公告)日:2013-12-10

    申请号:US11412347

    申请日:2006-04-27

    CPC classification number: H04L43/04 G06F9/5061 G06F11/3442 G06F11/3476

    Abstract: A method for server consolidation is provided. The method includes collecting performance data of a plurality of source servers in a desired environment, selecting a group of one or more source servers from the plurality of source servers for consolidation, marking each source server in the with one of multiple usability statuses with one of such statuses indicates the marked source server is to be replaced or reused as necessary in the server consolidation, selecting a target platform for a new server, and performing a first server consolidation analysis of the first group based at least on the collected performance data, the initial usability status of each source server in the first group, and the first selected target platform.

    Abstract translation: 提供了一种用于服务器整合的方法。 该方法包括在期望的环境中收集多个源服务器的性能数据,从多个源服务器中选择一组一个或多个源服务器进行合并,以多个可用性状态之一标记每个源服务器,其中之一之一 这样的状态表示标记的源服务器将在服务器整合中根据需要被替换或重用,选择新服务器的目标平台,以及至少基于所收集的性能数据执行第一组的第一服务器合并分析, 第一组中每个源服务器的初始可用性状态和第一个选定的目标平台。

    Methods and systems for a prediction model
    6.
    发明授权
    Methods and systems for a prediction model 有权
    预测模型的方法和系统

    公开(公告)号:US07778715B2

    公开(公告)日:2010-08-17

    申请号:US11047093

    申请日:2005-01-31

    CPC classification number: G05B17/02 G05B13/048

    Abstract: In at least some embodiments, a method comprises obtaining a state description associated with a system having a component. The method further comprises automatically obtaining a substantially optimal parameterization for the component based on one or more operant characteristics of the component predicted by a behavior prediction model using combinations of the system's state description and a set of possible parameterizations for the component.

    Abstract translation: 在至少一些实施例中,一种方法包括获得与具有组件的系统相关联的状态描述。 该方法还包括基于使用系统的状态描述和该组件的一组可能的参数化的组合,通过行为预测模型预测的组件的一个或多个操作特征自动获得组件的基本上最佳的参数化。

    System and method for allocating server resources
    7.
    发明授权
    System and method for allocating server resources 有权
    用于分配服务器资源的系统和方法

    公开(公告)号:US07581008B2

    公开(公告)日:2009-08-25

    申请号:US10706401

    申请日:2003-11-12

    Abstract: A system and method employing an allocation process for determining the number of server machines at each tier of a multiple tiered server system. The allocation process evaluates the number of server machines at each tier sufficient to achieve an average response time of a transaction request to be processed by the server system in response to changes in the average number of transaction requests. The allocation process also identifies shadow pricing enabling analysis of the cost associated with incremental changes in the average response time or other critical system resources.

    Abstract translation: 一种采用分配过程来确定多层次服务器系统的每层的服务器机器数量的系统和方法。 分配过程评估每层的服务器机器数量,足以实现由服务器系统处理的事务请求的平均响应时间,以响应于平均事务请求数量的变化。 分配过程还可以识别影子定价,从而能够分析与平均响应时间或其他关键系统资源中的增量更改相关的成本。

    Generalized segmentation method for estimation/optimization problem

    公开(公告)号:US07096209B2

    公开(公告)日:2006-08-22

    申请号:US09854084

    申请日:2001-05-10

    CPC classification number: G06N99/005

    Abstract: A method for action selection based upon an objective of an outcome relative to a subject. In one embodiment, a training set is obtained that contains attributes of a subject. In the present embodiment, a best behavioral model for predicting an outcome when a subject has an action applied is calculated. The training set is mapped to the best behavioral model. The mapping provides a base from which a random sub-sample is acquired. In the present embodiment, a random sub-sample of the training set and the best behavioral model is then selected. This random sub-sample reduces the computational requirements when determining an optimized strategy. The optimized strategy provides an optimal action relative to the subject for the objective of the outcome. In one embodiment, the subject is a customer of a business entity, enabled to interact with the customer, and an action is a promotion offered by the business entity.

    Solving a model to select members of a portfolio
    10.
    发明申请
    Solving a model to select members of a portfolio 审中-公开
    解决模型来选择投资组合的成员

    公开(公告)号:US20080071590A1

    公开(公告)日:2008-03-20

    申请号:US11521621

    申请日:2006-09-15

    Abstract: A computer-executable method provides plural constraints representing corresponding objectives of an enterprise, where the objectives are related to members of the enterprise's portfolio. A model is provided for selecting the members of the portfolio, where the model contains the plural constraints. The model is solved to select the members of the portfolio.

    Abstract translation: 计算机可执行方法提供表示企业的相应目标的多个约束,其目标与企业投资组合的成员有关。 提供了一个模型来选择投资组合的成员,其中模型包含多个约束。 该模型被解决以选择投资组合的成员。

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