US 11,722,868 B2
Network-aware deployment optimization for large scale virtual network function deployments at a network edge
John J. Joyce, Pittsburgh, PA (US); Ravi Potluri, Coppell, TX (US); Sachinder D. Reddy, Plano, TX (US); Sunny Pal Singh, McKinney, TX (US); Umashankar Velusamy, Tampa, FL (US); Jason T. Wright, Novi, MI (US); and Yang Xu, Basking Ridge, NJ (US)
Assigned to Verizon Patent and Licensing Inc., Basking Ridge, NJ (US)
Filed by Verizon Patent and Licensing Inc., Basking Ridge, NJ (US)
Filed on May 13, 2021, as Appl. No. 17/319,294.
Prior Publication US 2022/0369084 A1, Nov. 17, 2022
Int. Cl. H04L 67/00 (2022.01); H04W 40/24 (2009.01); H04W 4/50 (2018.01); H04W 28/16 (2009.01)
CPC H04W 4/50 (2018.02) [H04L 67/34 (2013.01); H04W 28/16 (2013.01); H04W 40/246 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method, comprising:
receiving, in a network, an order for virtual network function (VNF) deployments at network edge locations;
mapping a radio access network (RAN) topology for each of the network edge locations;
identifying one or more time windows to perform the VNF deployments, based on the order, historical transport and RAN utilization data, and the RAN topology;
selecting, from the one or more time windows, a first time window to perform the VNF deployments based on stored policy rules;
pushing software images for the VNF deployments to an image repository in a geographical region near the network edge locations;
analyzing, for the first time window, real-time transport network and RAN status data for a pre-emptive condition;
pre-empting the VNF deployments when the pre-emptive condition is identified; and
initiating the VNF deployments at the network edge locations when no pre-emptive condition is identified.