公开(公告)号：US20220027249A1

公开(公告)日：2022-01-27

申请号：US16936565

申请日：2020-07-23

Applicant: VMware, Inc.

Inventor： Sunny Dua ,  Bonnie Zhang ,  Karen Aghajanyan ,  Hovhannes Antonyan ,  Ashot Nshan Harutyunyan ,  Arnak Poghosyan ,  Naira Movses Grigoryan

IPC: G06F11/34 ,  G06F11/30 ,  G06F11/32 ,  G06F11/07 ,  G06K9/62

Abstract: Methods and systems described herein automate various aspects of troubleshooting a problem in a distributed computing system for various forms of object information regarding objects of the distributed computing system. In one aspect, the object information includes metrics, log messages, properties, network flows, events, and application traces. Methods and systems learn interesting patterns contained in the object information. The interesting patterns include change points in metrics and network flows, changes in the types of log messages, broken correlations between events, anomalous event transactions, atypical histogram distributions of metrics, and atypical histogram distributions of span durations in application traces. The interesting patterns are displayed in a graphical user interface (“GUI”) that enables a user to assign a label identifying a problem associated with the interesting patterns.

公开(公告)号：US11184219B2

公开(公告)日：2021-11-23

申请号：US16742239

申请日：2020-01-14

Applicant: VMware, Inc.

Inventor： Ashot Nshan Harutyunyan ,  Naira Movses Grigoryan ,  Arnak Poghosyan ,  Hovhannes Antonyan ,  Vardan Hovhannisyan

IPC: H04L12/24 ,  G06F16/23 ,  G06F16/25

Abstract: Methods and systems described herein are directed to troubleshooting anomalous behavior in a data center. Anomalous behavior in an object of a data center, such as a computational resource, an application, or a virtual machine (“VM”), may be related to the behavior of other objects at different hierarchies of the data center. Methods and systems provide a graphical user interface that enables a user to select a selected metric associated with an object of the data center experiencing a performance problem. Unexpected metrics of an object topology of the data center that correspond to the performance problem are identified. A recommendation for executing remedial measures to correct the performance problem is generated based on the unexpected metrics.

公开(公告)号：US20170364581A1

公开(公告)日：2017-12-21

申请号：US15184862

申请日：2016-06-16

Applicant: VMware, Inc.

Inventor： Ashot Nshan Harutyunyan ,  Arnak Poghosyan ,  Naira Movses Grigoryan ,  Hovhannes Antonyan

IPC: G06F17/30 ,  G06F17/18

CPC classification number: G06F16/287 ,  G06F11/3006 ,  G06F11/3452 ,  G06F16/24578 ,  G06F2201/815

Abstract: Methods and systems to evaluate importance of metrics generated in a data center and ranking metric in order of relevance to data center performance are described. Methods collect sets of metric data generated in a data center over a period of time and categorize each set of metric data as being of high importance, medium importance, or low importance. Methods also calculate a rank ordering of each set of high importance and medium importance metric data. By determining importance of data center metrics, an optimal usage and distribution of computational and storage resources of the data center may be determined.

公开(公告)号：US20210218619A1

公开(公告)日：2021-07-15

申请号：US16742239

申请日：2020-01-14

Applicant: VMware, Inc.

Inventor： Ashot Nshan Harutyunyan ,  Naira Movses Grigoryan ,  Arnak Poghosyan ,  Hovhannes Antonyan ,  Vardan Hovhannisyan

IPC: H04L12/24 ,  G06F16/23 ,  G06F16/25

Abstract: Methods and systems described herein are directed to troubleshooting anomalous behavior in a data center. Anomalous behavior in an object of a data center, such as a computational resource, an application, or a virtual machine (“VM”), may be related to the behavior of other objects at different hierarchies of the data center. Methods and systems provide a graphical user interface that enables a user to select a selected metric associated with an object of the data center experiencing a performance problem. Unexpected metrics of an object topology of the data center that correspond to the performance problem are identified. A recommendation for executing remedial measures to correct the performance problem is generated based on the unexpected metrics.

公开(公告)号：US20210216559A1

公开(公告)日：2021-07-15

申请号：US16742120

申请日：2020-01-14

Applicant: VMware, Inc.

Inventor： Karen Aghajanyan ,  Hovhannes Antonyan ,  Naira Movses Grigoryan ,  Arnak Poghosyan ,  Ashot Nshan Harutyunyan ,  Sunny Dua ,  Bonnie Zhang

IPC: G06F16/2457 ,  G06F16/25 ,  G06F3/0484

Abstract: Methods and systems are directed to finding various types of evidence of performance problems with objects in a data center, troubleshooting the performance problems, and generating recommendations for correcting the performance problems. A performance problem with an object of a data center, such as a server computer, an application, or a virtual machine (“VM”), may result from performance problems associated with other objects of the data center. The methods and systems detect origins of performance problems with objects for which no alerts and parameters for detecting the performance problems have been defined or detect performance problems related to alerts that fail to point to a root cause of the performance problem.