公开(公告)号：US20200177482A1

公开(公告)日：2020-06-04

申请号：US16657046

申请日：2019-10-18

Applicant: NetApp, inc.

Inventor： Vijay Singh ,  Abhishek Mishra ,  Douglas Joseph Santry ,  Niranjan Desai ,  Anusha Sivananainthaperumal

IPC: H04L12/26 ,  H04L29/06 ,  G06F3/06 ,  H04L12/24 ,  G06F11/34 ,  H04L29/08

Abstract: Methods, non-transitory machine readable media, and computing devices that manage data storage fabric health are disclosed. With this technology, a network model is applied to network data determined from monitored network traffic exchanged between storage nodes and via network connections over a cluster fabric to generate a health score for the cluster fabric. A cause of health degradation in the cluster fabric is determined based on an analysis of the network data, when the health score indicates that health of the cluster fabric is degrading. A corrective action is automatically initiated based on the cause of health degradation in the cluster fabric. With this technology, cluster fabrics in data storage networks are more effectively monitored for health degradation and, advantageously, corrective actions can be preemptively initiated to improve performance.

公开(公告)号：US11218391B2

公开(公告)日：2022-01-04

申请号：US16657046

申请日：2019-10-18

Applicant: NetApp, inc.

Inventor： Vijay Singh ,  Abhishek Mishra ,  Douglas Joseph Santry ,  Niranjan Desai ,  Anusha Sivananainthaperumal

IPC: H04L12/24 ,  H04L12/26 ,  G06F3/06 ,  H04L29/06 ,  G06F11/34 ,  H04L29/08

Abstract: Methods, non-transitory machine readable media, and computing devices that manage data storage fabric health are disclosed. With this technology, a network model is applied to network data determined from monitored network traffic exchanged between storage nodes and via network connections over a cluster fabric to generate a health score for the cluster fabric. A cause of health degradation in the cluster fabric is determined based on an analysis of the network data, when the health score indicates that health of the cluster fabric is degrading. A corrective action is automatically initiated based on the cause of health degradation in the cluster fabric. With this technology, cluster fabrics in data storage networks are more effectively monitored for health degradation and, advantageously, corrective actions can be preemptively initiated to improve performance.