公开(公告)号：US09367421B2

公开(公告)日：2016-06-14

申请号：US14198332

申请日：2014-03-05

Applicant: NetApp, Inc.

Inventor： Ran Gilbao ,  Aashay Joshi ,  Alberto Velella ,  Yarom Gabay ,  Jason Sprague

IPC: G06F11/00 ,  G06F11/32 ,  G06F9/445 ,  H04L12/26 ,  G06F11/07 ,  G06F11/20 ,  G06F11/30 ,  G06F11/34 ,  H04L12/24 ,  H04L29/08 ,  G06Q30/06

CPC classification number: G06F11/328 ,  G06F8/60 ,  G06F8/65 ,  G06F8/71 ,  G06F11/0793 ,  G06F11/2028 ,  G06F11/3006 ,  G06F11/3051 ,  G06F11/323 ,  G06F11/3409 ,  G06F11/3452 ,  G06F11/3466 ,  G06F2201/865 ,  G06Q30/0631 ,  H04L41/147 ,  H04L41/22 ,  H04L43/00 ,  H04L43/04 ,  H04L43/045 ,  H04L43/065 ,  H04L43/0894 ,  H04L67/34 ,  H04L67/36

Abstract: A method performed by a monitoring tool in a computer system, the method including: for a set of network nodes in a computer system: applying a correlation formula on an input based on performance data of the set, and determining a correlation score based on applying the correlation formula, the correlation score indicating a correlation between network nodes in the set; determining, based on the correlation scores, a first list including a first plurality of network nodes having a correlation score that satisfies a first threshold; identifying a second plurality of network nodes included in the first list, the second plurality of network nodes having a correlation score that satisfies a second threshold, which indicates a correlation that is higher than the first threshold; analyzing the performance data of the second plurality against a constancy metric; and removing, based on the analyzing, the second plurality from the first list.

Abstract translation: 一种由计算机系统中的监视工具执行的方法，所述方法包括：对于计算机系统中的一组网络节点：基于所述集合的性能数据对输入应用相关公式，并且基于应用确定相关分数 相关公式，相关分数表示集合中网络节点之间的相关性; 基于相关得分确定包括具有满足第一阈值的相关得分的第一多个网络节点的第一列表; 识别包括在所述第一列表中的第二多个网络节点，所述第二多个网络节点具有满足第二阈值的相关得分，其指示高于所述第一阈值的相关性; 根据常数度量分析第二多个的性能数据; 以及基于所述分析从所述第一列表中移除所述第二多个。

公开(公告)号：US20150178176A1

公开(公告)日：2015-06-25

申请号：US14198332

申请日：2014-03-05

Applicant: NetApp, Inc.

Inventor： Ran Gilbao ,  Aashay Joshi ,  Alberto Velella ,  Yarom Gabay ,  Jason Sprague

IPC: G06F11/34 ,  G06F11/30 ,  G06F11/20

CPC classification number: G06F11/328 ,  G06F8/60 ,  G06F8/65 ,  G06F8/71 ,  G06F11/0793 ,  G06F11/2028 ,  G06F11/3006 ,  G06F11/3051 ,  G06F11/323 ,  G06F11/3409 ,  G06F11/3452 ,  G06F11/3466 ,  G06F2201/865 ,  G06Q30/0631 ,  H04L41/147 ,  H04L41/22 ,  H04L43/00 ,  H04L43/04 ,  H04L43/045 ,  H04L43/065 ,  H04L43/0894 ,  H04L67/34 ,  H04L67/36

Abstract: A method performed by a monitoring tool in a computer system, the method including: for a set of network nodes in a computer system: applying a correlation formula on an input based on performance data of the set, and determining a correlation score based on applying the correlation formula, the correlation score indicating a correlation between network nodes in the set; determining, based on the correlation scores, a first list including a first plurality of network nodes having a correlation score that satisfies a first threshold; identifying a second plurality of network nodes included in the first list, the second plurality of network nodes having a correlation score that satisfies a second threshold, which indicates a correlation that is higher than the first threshold; analyzing the performance data of the second plurality against a constancy metric; and removing, based on the analyzing, the second plurality from the first list.

Abstract translation: 一种由计算机系统中的监视工具执行的方法，所述方法包括：对于计算机系统中的一组网络节点：基于所述集合的性能数据对输入应用相关公式，并且基于应用来确定相关分数 相关公式，相关分数表示集合中网络节点之间的相关性; 基于相关得分确定包括具有满足第一阈值的相关得分的第一多个网络节点的第一列表; 识别包括在所述第一列表中的第二多个网络节点，所述第二多个网络节点具有满足第二阈值的相关得分，其指示高于所述第一阈值的相关性; 根据常数度量分析第二多个的性能数据; 以及基于所述分析从所述第一列表中移除所述第二多个。