公开(公告)号：US20140068071A1

公开(公告)日：2014-03-06

申请号：US14074454

申请日：2013-11-07

Applicant: Hewlett-Packard Development Company, L.P.

Inventor： Marie-Jo L. Fremont ,  Xin Zhang ,  Fereydoon Safai ,  Jerome Rolia ,  Keith Istvan Farkas ,  Dirk M. Beyer ,  Martin Arlitt

IPC: H04L12/26

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。

公开(公告)号：US20140114727A1

公开(公告)日：2014-04-24

申请号：US14063918

申请日：2013-10-25

Applicant: Hewlett-Packard Development Company, L.P.

Inventor： Jerry Z. Shan ,  Xin Zhang ,  Shailendra K. Jain ,  Cipriano A. Santos ,  Kay-Yut Chen ,  Alfy Louis ,  Shawn G. Williams ,  Maria Teresa Gonzalez Diaz ,  Siu Po Lee

IPC: G06Q10/06

CPC classification number: G06Q10/06375 ,  G06Q30/0202

Abstract: There is provided a computer-implemented method of generating a data forecasts for different levels of an entity. The method includes generating an aggregate forecast for an upper level entity comprised of two or more components. The method also includes determining mean values and a coefficient of variation for a probability distribution corresponding to future expected decomposition rates for each of the two or more components. A probability distribution parameter vector is computed based on the mean values and the coefficient of variation. The expected future decomposition rates for each of the two or more components may be computed based on the probability distribution parameter vector and a sample observation corresponding to previously observed decomposition values of each of the two or more components. Component forecasts corresponding to each of the two or more components may be computed based on the aggregate forecast and the expected future decomposition rates.

Abstract translation: 提供了一种计算机实现的对实体的不同级别生成数据预测的方法。 该方法包括生成由两个或更多个组件组成的上层实体的聚合预测。 该方法还包括确定与两个或更多个组件中的每个组件的未来预期分解速率对应的概率分布的平均值和变化系数。 基于平均值和变异系数计算概率分布参数向量。 可以基于概率分布参数向量和对应于先前观察到的两个或更多个分量中的每一个的分解值的样本观察来计算两个或更多个分量中的每一个的期望的未来分解率。 可以基于总体预测和预期的未来分解率来计算与两个或更多个组件中的每一个相对应的组件预测。

公开(公告)号：US20160321829A1

公开(公告)日：2016-11-03

申请号：US15034523

申请日：2014-01-31

Applicant: HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.

Inventor： Ming C. Hao ,  Xin Zhang ,  Gregory W. Cook ,  Nelson L. Chang ,  Riddhiman Ghosh ,  Meichun Hsu

IPC: G06T11/20 ,  G06T11/00 ,  G06T13/80

CPC classification number: G06T11/206 ,  G06T11/001 ,  G06T13/80

Abstract: According to an example, fluctuations of a metric for events are determined. The fluctuations are for multiple time intervals. A pixel-based visualization of the fluctuations is generated, and the pixels represent amounts of the fluctuations.

Abstract translation: 根据一个例子，确定事件的度量的波动。 波动是多个时间间隔。 产生波动的基于像素的可视化，并且像素表示波动的量。