公开(公告)号：US10452430B2

公开(公告)日：2019-10-22

申请号：US15690241

申请日：2017-08-29

Applicant: VMware, Inc.

Inventor： Serge Maskalik ,  Vemana Murty ,  Manjunath Bandi ,  Todd Sabin ,  Narendra Kumar Basur Shankarappa ,  Sachin Thakkar

IPC: G06F9/455 ,  G06F9/48 ,  G06F9/50

Abstract: A method of migrating a virtualized computing instance between source and destination virtualized computing systems includes executing a first migration workflow in the source virtualized computing system between a source host computer and a first mobility agent simulating a destination host, executing a second migration workflow in the destination virtualized computing system between a second mobility agent simulating a source host and a destination host computer, sending, as part of the first migration workflow, a configuration of the migrated virtualized computing instance to the destination virtualized computing system, translating, as part of the second migration workflow, infrastructure-dependent information in the configuration of the migrated virtualized computing instance, and transferring, during execution of the first and second migration workflows, migration data including the virtualized computing instance between the source host and the destination host over a network.

公开(公告)号：US20230401138A1

公开(公告)日：2023-12-14

申请号：US17886549

申请日：2022-08-12

Applicant: VMWARE, INC.

Inventor： Bhavesh Sharma ,  Vipul Patel ,  Sumit Kumar ,  Vemana Murty

IPC: G06F11/34 ,  G06F16/21 ,  G06F16/25

CPC classification number: G06F11/3457 ,  G06F16/214 ,  G06F16/256

Abstract: System and computer-implemented method for predicting data replication process durations of virtual computing instance migrations between computing environments uses migration metrics that are collected during data replication processes of migrations of virtual computing instances from source computing environments to destination computing environments to train at least one model for predicting data replication process durations for future migrations of virtual computing instances using at least some of the migration metrics. The at least one trained model is used to generate a prediction of a data replication process duration for the migration by a plurality of predictors.