-
公开(公告)号:US10452377B2
公开(公告)日:2019-10-22
申请号:US15406812
申请日:2017-01-16
Applicant: VMWARE, INC.
Inventor: Kavya Reddy Musani , Akash Kodenkiri , Ramesh Vepuri Lakshminarayana , Ramesh Jagannatha Shetty , Clement Jebakumar , Ravi Shankar Nandula
Abstract: System and methods for simulating an end-to-end upgrade process are provided. The method may include collecting, by an upgrade simulator, a system inventory from a production system. The system inventory includes the production system's hardware configuration. The method may include, in response to a determination that the system inventory is compatible with an upgrade software, configuring, by the upgrade simulator, a simulated system having a downsized hardware configuration compared to the production system's hardware configuration. The method may further include upgrading, by the upgrade simulator, the simulated system using the upgrade software, and evaluating, by the upgrade simulator, the simulated system operating with the upgrade software.
-
公开(公告)号:US11734096B2
公开(公告)日:2023-08-22
申请号:US15889246
申请日:2018-02-06
Applicant: VMWARE, INC.
Inventor: Chethana Hebbal Basavarajappa , Amita Ranjan , Kavya Reddy Musani
CPC classification number: G06F11/079 , G06F11/0706 , G06F11/0751 , G06F11/0778 , G06F11/0787 , G06F11/2263 , G06N5/047
Abstract: A method is provided to predict a disaster for a computer system based on logs. The method includes representing existing logs as first vectors by tokenizing the existing logs and partitioning the first vectors into clusters. The clusters represent disaster types. The method further includes selecting representative vectors for the clusters, representing a new log of the computer system as a second vector by tokenizing the new log, matching the second vector to a cluster by comparing the second vector and the representative vectors, and categorizing the new log as a disaster type represented by the cluster.
-
公开(公告)号:US09898325B2
公开(公告)日:2018-02-20
申请号:US15046475
申请日:2016-02-18
Applicant: VMWARE, INC.
Inventor: Avakash Prem Chand , Clement Jebakumar , Akash Kodenkiri , Shubha B S , Ramesh Vepuri Lakshminarayana , Kavya Reddy Musani
CPC classification number: G06F9/45558 , G06F9/44505 , G06F9/45533 , G06F2009/4557
Abstract: The present disclosure is related to systems, methods, and non-transitory machine readable media for virtual component revision. An example non-transitory machine readable medium can store instructions executable by a processing resource to cause a computing system to store a change to a configuration setting among a plurality of configuration settings each associated with a configurable virtual component and store the plurality of configuration settings associated with the configurable virtual component.
-
公开(公告)号:US11314499B2
公开(公告)日:2022-04-26
申请号:US16573451
申请日:2019-09-17
Applicant: VMware, Inc.
Inventor: Kavya Reddy Musani , Akash Kodenkiri , Ramesh Vepuri Lakshminarayana , Ramesh Jagannatha Shetty , Clement Jebakumar , Ravi Shankar Nandula
Abstract: System and methods for simulating an end-to-end upgrade process are provided. The method may include collecting, by an upgrade simulator, a system inventory from a production system. The system inventory includes the production system's hardware configuration. The method may include, in response to a determination that the system inventory is compatible with an upgrade software, configuring, by the upgrade simulator, a simulated system having a downsized hardware configuration compared to the production system's hardware configuration. The method may further include upgrading, by the upgrade simulator, the simulated system using the upgrade software, and evaluating, by the upgrade simulator, the simulated system operating with the upgrade software.
-
5.
公开(公告)号:US20190122130A1
公开(公告)日:2019-04-25
申请号:US15889246
申请日:2018-02-06
Applicant: VMWARE, INC.
Inventor: CHETHANA HEBBAL BASAVARAJAPPA , Amita Ranjan , Kavya Reddy Musani
Abstract: A method is provided to predict a disaster for a computer system based on logs. The method includes representing existing logs as first vectors by tokenizing the existing logs and partitioning the first vectors into clusters. The clusters represent disaster types. The method further includes selecting representative vectors for the clusters, representing a new log of the computer system as a second vector by tokenizing the new log, matching the second vector to a cluster by comparing the second vector and the representative vectors, and categorizing the new log as a disaster type represented by the cluster.
-
-
-
-