公开(公告)号：US20240036530A1

公开(公告)日：2024-02-01

申请号：US17970697

申请日：2022-10-21

Applicant: VMWARE, INC.

Inventor： MARIUS VILCU ,  SHASHI KUMAR ,  MADAN SINGHAL ,  NICHOLAS MARK GRANT STEPHEN ,  Jad EI-Zein

IPC: G05B13/02

CPC classification number: G05B13/027

Abstract: The current document is directed to reinforcement-learning-based controllers and managers that control distributed applications and the infrastructure environments in which they run. The reinforcement-learning-based controllers and managers are both referred to as “management-system agents” in this document. Management-system agents are initially trained in simulated environments and specialized training environments before being deployed to live, target distributed computer systems. The management-system agents deployed to live, target distributed computer systems operate in a controller mode, in which they do not explore the control-state space or attempt to learn better policies and value functions, but instead produce traces that are collected and stored for subsequent use. Each deployed management-system agent is associated with a twin training agent that uses the collected traces produced by the deployed management-system agent for updating and learning optimized policies and value functions, which are then transferred to the deployed management-system agent.

公开(公告)号：US20230195495A1

公开(公告)日：2023-06-22

申请号：US17671630

申请日：2022-02-15

Applicant: VMWARE, INC.

Inventor： GIRI PRASHANTH SUBRAMANIAN ,  SHUBHRAJYOTI MOHAPATRA ,  MADAN SINGHAL ,  DEEPAK GANGWAR

IPC: G06F9/455 ,  G06F9/50

CPC classification number: G06F9/45558 ,  G06F9/5072 ,  G06F9/45545 ,  G06F2009/4557 ,  G06F2009/45583

Abstract: A property-based application discovery. Generating a first application member properties graph based on first discovery information. Generating a second application member properties graph based on second discovery information. Creating a distance matrix based upon the first application member properties graph and the second application member properties graph. Performing a dimension reduction operation on the distanced matrix to obtain a reduced similarity matrix. Performing a property based application discovery operation using the reduced similarity matrix to obtain a reduced output of clustered applications.

公开(公告)号：US20230289202A1

公开(公告)日：2023-09-14

申请号：US17673884

申请日：2022-02-17

Applicant: VMWARE, INC.

Inventor： GIRI PRASHANTH SUBRAMANIAN ,  MADAN SINGHAL ,  SHUBHRAJYOTI MOHAPATRA ,  DEEPAK GANGWAR ,  ABHIJIT SHARMA

IPC: G06F9/455 ,  G06F9/50 ,  G06F9/30

CPC classification number: G06F9/45558 ,  G06F9/505 ,  G06F9/3005 ,  G06F9/5072 ,  G06F2009/4557

Abstract: An application reconciliation to improve flow-based applications. Generating a first application source graph based on first discovery information. Generating a second application graph based on first discovery information. Clustering the applications generated in the second graph of connected components. Performing a reconciliation of the connected components to cluster applications with similar members to obtain a reduced output of clustered applications.

公开(公告)号：US20210173688A1

公开(公告)日：2021-06-10

申请号：US16787050

申请日：2020-02-11

Applicant: VMWARE, INC.

Inventor： MADAN SINGHAL ,  Gyan Sinha ,  Abhijit Sharma ,  Ashutosh Kulkarni ,  Avinash Nigam ,  Shivam Pawar

IPC: G06F9/455 ,  H04L29/08 ,  G06F17/16 ,  G06N20/00

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 clustering of the features is performed. Provided the feature selection analysis determines that features of the components are well defined, a similarity analysis of the sub-features of the feature is performed. Results of the feature selection methodology are generated.