US 12,443,414 B2
System and method to statistically determine and recommend bounce-able machines to improve user experience
Prabhjeet Singh Chawla, Kanpur (IN); Vindhya Gajanan, Bengaluru (IN); and Rahul Gupta, Bengaluru (IN)
Filed by Citrix Systems, Inc., Fort Lauderdale, FL (US)
Filed on Oct. 13, 2021, as Appl. No. 17/500,409.
Prior Publication US 2023/0114867 A1, Apr. 13, 2023
Int. Cl. G06F 9/4401 (2018.01)
CPC G06F 9/4403 (2013.01) 20 Claims
OG exemplary drawing
 
1. A method, comprising:
identifying, by one or more processors coupled to memory, data associated with a history of actions performed on a plurality of machines;
predicting, by the one or more processors using the data and based on a simulation of a sequence of actions, a future change in performance of the plurality of machines if the sequence of actions were applied to one or more of the plurality of machines;
selecting, by the one or more processors and based on the simulation, a machine of the plurality of machines based at least on the change in performance of the machine satisfying a threshold, wherein the threshold is a numerical percentage that corresponds to an increase in performance associated with the machine; and
prior to the future change in performance, initiating, by the one or more processors responsive to the selection, the sequence of actions on the machine.