公开(公告)号：US11409895B2

公开(公告)日：2022-08-09

申请号：US16789450

申请日：2020-02-13

Applicant: VMWARE, INC.

Inventor： Abhijit Sharma ,  Amarjit Gupta ,  Somil Bhandari

IPC: H04L29/06 ,  G06F21/62 ,  G06F21/31 ,  G06F21/57 ,  G06F21/78 ,  G06F21/44

Abstract: A feature selection methodology is disclosed. In a computer-implemented method, components of a computing environment are automatically monitored, and have a feature selection analysis performed thereon. Provided the feature selection analysis determines that features of the components are well defined, a classification of the features is performed. Provided the feature selection analysis determines that features of the components are not well-defined access to those features are discarded. Results of the feature selection methodology are generated.

公开(公告)号：US20220376970A1

公开(公告)日：2022-11-24

申请号：US17325077

申请日：2021-05-19

Applicant: VMware, Inc.

Inventor： Rahul Chawathe ,  Gyan Sinha ,  Amarjit Gupta

IPC: H04L12/24 ,  H04L12/26

Abstract: Computational methods and systems troubleshoot problems in a data center network. A dependency graph is constructed in response to an entity of the network exhibiting anomalous behavior. The dependency graph comprises nodes that correspond to metrics of entities that transmit data to and receive data from the entity over the network and edges that represent a connection between metrics. An anomaly score is determined for each metric of the dependency graph. Correlated metrics connected by the edges of the dependency graph are determined. Time-change events of the metrics of the dependency graph are also identified. Each metric of the dependency graph is rank ordered based on the anomaly scores, correlations with other metrics, and the time-change events. Higher ranked metrics are more likely associated with a problem in the network that corresponds to the anomalous behavior of the entity.

公开(公告)号：US11424990B2

公开(公告)日：2022-08-23

申请号：US16939141

申请日：2020-07-27

Applicant: VMWARE, INC.

Inventor： Ravi Singhal ,  Prahalad Deshpande ,  Avinash Nigam ,  Abhijit Sharma ,  Somil Bhandari ,  Amarjit Gupta ,  Ambarish Pande

IPC: H04L12/24 ,  H04L29/08 ,  G06F3/00 ,  H04L41/12 ,  H04L61/5038

Abstract: A system and method for topology construction in hybrid cloud environments includes receiving connection information from a local perimeter edge router of a local network that has a known topology and receiving connection information from a remote perimeter edge router of a remote network that is provided by a cloud provider. The received local perimeter edge router connection information is associated with the received remote perimeter edge router connection information. The associated connection information is normalized to a generic model, the generic model representing connections having different link layer policies in a generic way and the normalized connection information is applied to a network topology of the local network and the remote network.

公开(公告)号：US20210182414A1

公开(公告)日：2021-06-17

申请号：US16789450

申请日：2020-02-13

Applicant: VMWARE, INC.

Inventor： Abhijit Sharma ,  Amarjit Gupta ,  Somil Bhandari

IPC: G06F21/62 ,  G06F21/31 ,  G06F21/44 ,  G06F21/78 ,  G06F21/57

Abstract: A feature selection methodology is disclosed. In a computer-implemented method, components of a computing environment are automatically monitored, and have a feature selection analysis performed thereon. Provided the feature selection analysis determines that features of the components are well defined, a classification of the features is performed. Provided the feature selection analysis determines that features of the components are not well-defined access to those features are discarded. Results of the feature selection methodology are generated.