US 12,335,122 B2
Decentralized computing networks, architectures and techniques for processing events across multiple channels
Michael Love, Marble Falls, TX (US); Blake Love, Austin, TX (US); and Tiago Soromenho, Austin, TX (US)
Assigned to SurgeTech M LLC, Loule (PT)
Filed by SurgeTech M LLC, Loule (PT)
Filed on Apr. 18, 2023, as Appl. No. 18/136,043.
Application 18/136,043 is a continuation of application No. 18/074,418, filed on Dec. 2, 2022, granted, now 11,665,076.
Prior Publication US 2024/0187324 A1, Jun. 6, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. H04L 43/0876 (2022.01); G06Q 30/0201 (2023.01); H04L 12/14 (2024.01); H04L 41/0896 (2022.01); H04L 41/0897 (2022.01); H04L 47/12 (2022.01)
CPC H04L 43/0876 (2013.01) [G06Q 30/0206 (2013.01); H04L 12/1489 (2013.01); H04L 41/0896 (2013.01); H04L 41/0897 (2022.05); H04L 47/12 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A computerized method for processing data in a decentralized, cloud-based computing environment, comprising:
providing a decentralized computing network hosted in a cloud-based computing environment for processing data across multiple channels, wherein the decentralized computing network comprises a plurality of nodes that are associated with channels corresponding to geographic regions and the plurality of nodes included in the decentralized computing network are arranged in a geographical hierarchy that defines parent-child relationships based on geographic associations;
associating each of the plurality of nodes included in the decentralized computing network with one or more virtual machines in the cloud-based computing environment, the one or more virtual machines being configured to process data for the channels corresponding to each of the plurality of nodes;
analyzing, by a node executed on at least one virtual machine, channel events corresponding to a channel associated with the node;
generating, by the node executed on the at least one virtual machine, channel analysis data based, at least in part, on an analysis of the channel events corresponding to the channel associated with the node;
detecting, by the node executed on the at least one virtual machine, a demand surge in the channel based on the channel analysis data; and
wherein, in response to detecting the demand surge, a demand adjustment function is executed that adjusts a price of one or more inventory items based, at least in part, on a demand for the one or more inventory items in the channel or adjusts allocations of the one or more inventory items based, at least in part, on the demand for the one or more inventory items in the channel.