公开(公告)号：US20200241894A1

公开(公告)日：2020-07-30

申请号：US16354201

申请日：2019-03-15

Applicant: VMware, Inc.

Inventor： Binyang LI ,  Zhikai CHEN ,  Yao ZHANG ,  Ming CHEN ,  Wenping FAN ,  Sandro MOIRON ,  Kiran RAO

IPC: G06F9/451 ,  G06F9/455 ,  G06N20/00

Abstract: A method to improve virtual desktop infrastructure (VDI) user experience includes providing a user access to a first virtual desktop executing a first set of applications and having a first virtual machine (VM) configuration, collecting VDI performance metrics associated with the first virtual desktop, detecting a problem from the VDI performance metrics, and changing a first remote display protocol configuration to address the problem. The method further includes collecting the user's feedback, training a model with the first VM configuration, the first set of applications, the user's feedback, and the first remote display protocol configuration, receiving a second VM configuration for a second virtual machine providing a second virtual desktop and a second set of applications on the second virtual desktop, using the model to generate a second remote display protocol configuration for the second virtual desktop, and configuring the second virtual desktop with the second remote display protocol configuration.

公开(公告)号：US20240232818A1

公开(公告)日：2024-07-11

申请号：US18121602

申请日：2023-03-15

Applicant: VMware, Inc.

Inventor： Wenping FAN ,  Yao ZHANG ,  Puhui MENG ,  Cris LAU ,  Zhikai CHEN

IPC: G06Q10/20 ,  G06F9/451 ,  G06F9/455

CPC classification number: G06Q10/20 ,  G06F9/452 ,  G06F9/45558 ,  G06F2009/45591

Abstract: Intelligent maintenance may be planned and performed for hosts in a pool of hosts that run virtual desktop sessions. A number of hosts to be shut down for maintenance, as well as a start time for a maintenance window, may be determined based on a first risk model and on a capacity risk level. A second risk model may be used to determine whether a capacity risk is still less than the capacity risk level, if some hosts have sessions that take longer than expected to log off and so delay the start time of the maintenance window.