US 12,170,596 B2
Change impact simulation analysis
Gargi Adhav, San Jose, CA (US); Hui Liu, San Ramon, CA (US); Vishal Gupta, Milpitas, CA (US); Vikas Aggarwal, Brisbane, CA (US); Kan Cai, Sunnyvale, CA (US); and Xiaoyu Zhang, San Jose, CA (US)
Assigned to Google LLC, Mountain View, CA (US)
Filed by Google LLC, Mountain View, CA (US)
Filed on Aug. 18, 2023, as Appl. No. 18/452,512.
Application 18/452,512 is a continuation of application No. 17/814,158, filed on Jul. 21, 2022, granted, now 11,765,044.
Application 17/814,158 is a continuation of application No. 17/110,259, filed on Dec. 2, 2020, granted, now 11,424,991, issued on Aug. 23, 2022.
Claims priority of provisional application 63/110,939, filed on Nov. 6, 2020.
Prior Publication US 2023/0396508 A1, Dec. 7, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. H04L 12/00 (2006.01); H04L 41/14 (2022.01); H04L 41/28 (2022.01); H04L 9/40 (2022.01)
CPC H04L 41/145 (2013.01) [H04L 41/28 (2013.01); H04L 63/0263 (2013.01); H04L 63/0272 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method when executed by data processing hardware causes the data processing hardware to perform operations comprising:
generating a simulation network model based on a workflow for a production network model of a network, the simulation network model including a parameter change to the production network model;
replaying the workflow for the production network model as a simulated network flow within the simulation network model;
based on the replaying of the workflow for the production network model as the simulated network flow within the simulation network model, generating a report indicating differences between the production network model and the simulation network model;
receiving a rejection of the parameter change included in the simulation network model; and
based on receiving the rejection of the parameter change, declining to implement the parameter change in the production network model.