US 12,218,802 B1
Data center networks using bottleneck structures
Jordi Ros-Giralt, Newport Beach, CA (US); Noah Amsel, New York, NY (US); and Richard Lethin, New York, NY (US)
Assigned to Reservoir Labs, Inc., San Diego, CA (US)
Filed by Reservoir Labs, Inc., San Diego, CA (US)
Filed on Dec. 17, 2021, as Appl. No. 17/554,457.
Claims priority of provisional application 63/150,305, filed on Feb. 17, 2021.
Int. Cl. H04L 41/14 (2022.01); H04L 47/127 (2022.01); H04L 49/1515 (2022.01)
CPC H04L 41/145 (2013.01) [H04L 47/127 (2013.01); H04L 49/1515 (2013.01)] 16 Claims
OG exemplary drawing
 
1. A method for selecting a network parameter, the method comprising performing by a processor the steps of:
obtaining expected traffic pattern for a network, the network comprising a plurality of levels of switches and corresponding links; and
selecting a network parameter corresponding to a switch or link at a selected level based on, in part, a portion of the expected network traffic associated with that switch or link;
wherein:
the network comprises a folded-clos network;
the network parameter comprises a number of spine blocks of the folded clos network; and
selecting the number of spine blocks is further based on, in part, a radix of spine-level switches,
wherein a radix value reduces a number of switches and cabling in the network wherein the network parameter improves a network performance and optimize performance-cost trade-off.