公开(公告)号：US20140095422A1

公开(公告)日：2014-04-03

申请号：US14014707

申请日：2013-08-30

Applicant: Dell Software Inc.

Inventor： Oren Tibi Solomon ,  Israel Kalush

IPC: G06N5/02

CPC classification number: G06Q10/06312 ,  G06N5/02

Abstract: In one embodiment, a method includes receiving an identity of a metric of interest and a future time point. The method further includes retrieving a prediction configuration previously associated with the metric of interest. The prediction configuration comprising a period combination. The period combination comprises a plurality of time periods, each time period comprises one or more segments, and each segment of the one or more segments comprises adapted historical values of the metric of interest incrementally inserted therein. The method also includes, for each time period of the plurality of time periods, identifying, for the future time point, a corresponding segment of the one or more segments, accessing a set of adapted historical values from the corresponding segment, and computing an intermediate predicted value from the set of adapted historical values. Moreover, the method includes calculating a predicted value for the metric of interest based on the computing.

Abstract translation: 在一个实施例中，一种方法包括接收感兴趣度量和未来时间点的身份。 该方法还包括检索先前与感兴趣度量相关联的预测配置。 该预测配置包括周期组合。 周期组合包括多个时间段，每个时间段包括一个或多个段，并且一个或多个段的每个段包括递增地插入其中的关注度量的适应历史值。 该方法还包括对于多个时间段的每个时间段，在未来时间点识别一个或多个段的相应段，从相应段访问一组适应的历史值，以及计算中间值 从一组适应历史价值的预测值。 此外，该方法包括基于计算来计算感兴趣度量的预测值。

公开(公告)号：US20140095243A1

公开(公告)日：2014-04-03

申请号：US14014637

申请日：2013-08-30

Applicant: Dell Software Inc.

Inventor： Oren Tibi Solomon ,  Israel Kalush

IPC: G06Q10/06

CPC classification number: G06Q10/06312 ,  G06N5/02

Abstract: In one embodiment, a method includes identifying a plurality of period combinations for a metric of interest. Each period combination comprises one or more time periods and each of the one or more time periods comprises one or more segments. The method further includes, for each period combination of the plurality of period combinations and each historical value of a plurality of historical values of the metric of interest, incrementally inserting the historical value into corresponding segments of the one or more time periods. Moreover, the method includes ranking the plurality of period combinations based on comparisons of the plurality of historical values to sets of corresponding predicted values. The method also includes selecting a highest-ranked period combination as best characterizing the metric of interest.

Abstract translation: 在一个实施例中，一种方法包括识别感兴趣度量的多个周期组合。 每个周期组合包括一个或多个时间段，并且一个或多个时间段中的每一个包括一个或多个段。 所述方法还包括对于所述多个周期组合的每个周期组合以及所述关注度量的多个历史值的每个历史值，将所述历史值逐渐地插入所述一个或多个时间段的对应段中。 此外，该方法包括基于多个历史值与相应预测值的集合的比较对多个周期组合进行排序。 该方法还包括选择最高排名的周期组合，以最好地表征感兴趣的度量。

公开(公告)号：US10586189B2

公开(公告)日：2020-03-10

申请号：US14014637

申请日：2013-08-30

Applicant: Dell Software Inc.

Inventor： Oren Tibi Solomon ,  Israel Kalush

IPC: G06Q10/00 ,  G06Q10/06 ,  G06N5/02

Abstract: In one embodiment, a method includes identifying a plurality of period combinations for a metric of interest. Each period combination comprises one or more time periods and each of the one or more time periods comprises one or more segments. The method further includes, for each period combination of the plurality of period combinations and each historical value of a plurality of historical values of the metric of interest, incrementally inserting the historical value into corresponding segments of the one or more time periods. Moreover, the method includes ranking the plurality of period combinations based on comparisons of the plurality of historical values to sets of corresponding predicted values. The method also includes selecting a highest-ranked period combination as best characterizing the metric of interest.

公开(公告)号：US10387810B1

公开(公告)日：2019-08-20

申请号：US14153218

申请日：2014-01-13

Applicant: Dell Software Inc.

Inventor： Israel Kalush ,  Oren Tibi Solomon

IPC: G06Q10/00 ,  G06Q10/06

Abstract: In one embodiment, a method includes executing at least one application. The method further includes collecting, at periodic intervals as the least one application executes, an application load of each of the at least one application. In addition, the method includes generating, based at least in part on the collecting, an application-behavior baseline for each of the at least one application. The application-behavior baseline includes a plurality of projected application loads over a future period of time. The application-behavior baseline has a configurable time resolution. The method also includes automatically determining, for a subperiod of the future period, a quantity of compute resources required to manage the at least one application in satisfaction of at least one performance criterion. Moreover, the method includes causing the determined quantity of compute resources to be proactively provisioned to the at least one application in advance of a start of the subperiod.

公开(公告)号：US09245248B2

公开(公告)日：2016-01-26

申请号：US14014707

申请日：2013-08-30

Applicant: Dell Software Inc.

Inventor： Oren Tibi Solomon ,  Israel Kalush

IPC: G06F17/00 ,  G06N5/02 ,  G06Q10/06

CPC classification number: G06Q10/06312 ,  G06N5/02

Abstract: In one embodiment, a method includes receiving an identity of a metric of interest and a future time point. The method further includes retrieving a prediction configuration previously associated with the metric of interest. The prediction configuration comprising a period combination. The period combination comprises a plurality of time periods, each time period comprises one or more segments, and each segment of the one or more segments comprises adapted historical values of the metric of interest incrementally inserted therein. The method also includes, for each time period of the plurality of time periods, identifying, for the future time point, a corresponding segment of the one or more segments, accessing a set of adapted historical values from the corresponding segment, and computing an intermediate predicted value from the set of adapted historical values. Moreover, the method includes calculating a predicted value for the metric of interest based on the computing.

Abstract translation: 在一个实施例中，一种方法包括接收感兴趣度量和未来时间点的身份。 该方法还包括检索先前与感兴趣度量相关联的预测配置。 该预测配置包括周期组合。 周期组合包括多个时间段，每个时间段包括一个或多个段，并且一个或多个段的每个段包括递增地插入其中的关注度量的适应历史值。 该方法还包括对于多个时间段的每个时间段，在未来时间点识别一个或多个段的相应段，从相应段访问一组适应的历史值，以及计算中间值 从一组适应历史价值的预测值。 此外，该方法包括基于计算来计算感兴趣度量的预测值。