公开(公告)号：US20150379420A1

公开(公告)日：2015-12-31

申请号：US14317963

申请日：2014-06-27

Applicant: NetApp, Inc.

Inventor： Jayanta Basak ,  Kushal Wadhwani

IPC: G06N99/00 ,  G06F17/30

CPC classification number: G06F17/3007

Abstract: A method, non-transitory computer readable medium, and provisioning advisor device that obtains an intensity and characteristics for each of a plurality of training workloads from storage device volumes. For each of the training workloads, at least first and second training workload parameters are generated, based on the training workload intensity, and an associated training workload signature is generated, based on the training workload characteristics. The first and second training workload parameters and associated training workload signatures are stored in a mapping table. A signature and an intensity for a query workload are obtained. First and second query workload parameters are determined based on a correlation of the query workload signature with the training workload signatures of the mapping table. An estimated latency for the query workload is determined, based on the first and second query workload parameters and the query workload intensity, and the estimated query workload latency is output.

Abstract translation: 一种用于从存储设备卷获得多个训练工作负载中的每一个的强度和特性的方法，非暂时计算机可读介质和供应顾问设备。 对于每个训练工作负载，基于训练工作负载强度，至少生成第一和第二训练工作负载参数，并且基于训练工作负载特征生成相关联的训练工作负载签名。 第一和第二训练工作负载参数和相关联的训练工作负载签名存储在映射表中。 获得查询工作负载的签名和强度。 基于查询工作负载签名与映射表的训练工作负载签名的相关性来确定第一和第二查询工作负载参数。 基于第一和第二查询工作负载参数和查询工作负载强度，确定查询工作负载的估计延迟，并输出估计的查询工作负载延迟。

公开(公告)号：US20140244643A1

公开(公告)日：2014-08-28

申请号：US13781619

申请日：2013-02-28

Applicant: NetApp, Inc.

Inventor： Jayanta Basak ,  Kushal Wadhwani ,  Kaladhar Voruganti

IPC: G06F17/30

CPC classification number: G06F16/355 ,  G06F11/3409 ,  G06F11/3414 ,  G06F11/3419 ,  G06F16/217 ,  G06F2201/83

Abstract: An embodiment of the invention provides an apparatus and method for classifying a workload of a computing entity. In an embodiment, the computing entity samples a plurality of values for a plurality of parameters of the workload. Based on the plurality of values of each parameter, the computing entity determines a parameter from the plurality of parameters that the computing entity's response time is dependent on. Here, the computing entity's response time is indicative of a time required by the computing entity to respond to a service request from the workload. Further, based on the identified significant parameter, the computing entity classifies the workload of the computing entity by selecting a workload classification from a plurality of predefined workload classifications.

Abstract translation: 本发明的实施例提供了一种用于对计算实体的工作负载进行分类的装置和方法。 在一个实施例中，计算实体针对工作负载的多个参数对多个值进行采样。 基于每个参数的多个值，计算实体根据计算实体的响应时间依赖于多个参数确定参数。 这里，计算实体的响应时间表示计算实体响应来自工作负载的服务请求所需的时间。 此外，基于所识别的重要参数，计算实体通过从多个预定义的工作负载分类中选择工作负载分类来对计算实体的工作负载进行分类。

公开(公告)号：US11645320B2

公开(公告)日：2023-05-09

申请号：US15715952

申请日：2017-09-26

Applicant: NetApp, Inc.

Inventor： Jayanta Basak ,  Kushal Wadhwani ,  Kaladhar Voruganti

IPC: G06F16/35 ,  G06F16/21 ,  G06F11/34

CPC classification number: G06F16/355 ,  G06F11/3414 ,  G06F16/217 ,  G06F11/3409 ,  G06F11/3419 ,  G06F2201/83

Abstract: An embodiment of the invention provides an apparatus and method for classifying a workload of a computing entity. In an embodiment, the computing entity samples a plurality of values for a plurality of parameters of the workload. Based on the plurality of values of each parameter, the computing entity determines a parameter from the plurality of parameters that the computing entity's response time is dependent on. Here, the computing entity's response time is indicative of a time required by the computing entity to respond to a service request from the workload. Further, based on the identified significant parameter, the computing entity classifies the workload of the computing entity by selecting a workload classification from a plurality of predefined workload classifications.

公开(公告)号：US20180018339A1

公开(公告)日：2018-01-18

申请号：US15715952

申请日：2017-09-26

Applicant: NetApp, Inc.

Inventor： Jayanta Basak ,  Kushal Wadhwani ,  Kaladhar Voruganti

IPC: G06F17/30 ,  G06F11/34

CPC classification number: G06F16/355 ,  G06F11/3409 ,  G06F11/3414 ,  G06F11/3419 ,  G06F16/217 ,  G06F2201/83

Abstract: An embodiment of the invention provides an apparatus and method for classifying a workload of a computing entity. In an embodiment, the computing entity samples a plurality of values for a plurality of parameters of the workload. Based on the plurality of values of each parameter, the computing entity determines a parameter from the plurality of parameters that the computing entity's response time is dependent on. Here, the computing entity's response time is indicative of a time required by the computing entity to respond to a service request from the workload. Further, based on the identified significant parameter, the computing entity classifies the workload of the computing entity by selecting a workload classification from a plurality of predefined workload classifications.

公开(公告)号：US10534805B2

公开(公告)日：2020-01-14

申请号：US13781619

申请日：2013-02-28

Applicant: NetApp, Inc.

Inventor： Jayanta Basak ,  Kushal Wadhwani ,  Kaladhar Voruganti

IPC: G06F16/21 ,  G06F11/34 ,  G06F16/35

Abstract: An embodiment of the invention provides an apparatus and method for classifying a workload of a computing entity. In an embodiment, the computing entity samples a plurality of values for a plurality of parameters of the workload. Based on the plurality of values of each parameter, the computing entity determines a parameter from the plurality of parameters that the computing entity's response time is dependent on. Here, the computing entity's response time is indicative of a time required by the computing entity to respond to a service request from the workload. Further, based on the identified significant parameter, the computing entity classifies the workload of the computing entity by selecting a workload classification from a plurality of predefined workload classifications.

公开(公告)号：US09864749B2

公开(公告)日：2018-01-09

申请号：US14317963

申请日：2014-06-27

Applicant: NetApp, Inc.

Inventor： Jayanta Basak ,  Kushal Wadhwani

IPC: G06F17/30

CPC classification number: G06F17/3007

Abstract: A method, non-transitory computer readable medium, and provisioning advisor device that obtains an intensity and characteristics for each of a plurality of training workloads from storage device volumes. For each of the training workloads, at least first and second training workload parameters are generated, based on the training workload intensity, and an associated training workload signature is generated, based on the training workload characteristics. The first and second training workload parameters and associated training workload signatures are stored in a mapping table. A signature and an intensity for a query workload are obtained. First and second query workload parameters are determined based on a correlation of the query workload signature with the training workload signatures of the mapping table. An estimated latency for the query workload is determined, based on the first and second query workload parameters and the query workload intensity, and the estimated query workload latency is output.