H04L12/1489

Decentralized computing networks, architectures and techniques for processing events across multiple channels
12335122 · 2025-06-17 · ·

This disclosure relates to decentralized computing networks, architectures and techniques for collecting, analyzing, and processing data over multiple channels. A decentralized computing network comprises a plurality of computing nodes, each of which is dedicated to analyzing and processing events for a particular channel corresponding to a geographic region. Each node of the decentralized computing network can operate independently to process channel analysis data for a corresponding channel. The decentralized configuration of the nodes enables efficient processing of data collected over large geographic areas, increases the reliability of the system, and facilitates easy scaling of the system. Other embodiments are disclosed herein as well.

System, method and apparatus for subscriber user interfaces
12375311 · 2025-07-29 · ·

Methods, apparatus, and systems manage use of shared network resources among subscribers to a data communication service. In some implementations, a first metric is computed representing a subscriber's use of the shared network resources. A second metric may also be computed that represents the amount of network congestion of the shared network resources. Data derived from the first metric and the second metric may then be presented to the subscriber. The data may be transmitted to the subscriber over a network and/or the data may be displayed to the subscriber on an electronic display.

DECENTRALIZED COMPUTING NETWORKS, ARCHITECTURES AND TECHNIQUES FOR PROCESSING EVENTS ACROSS MULTIPLE CHANNELS
20250286801 · 2025-09-11 ·

This disclosure relates to decentralized computing networks, architectures and techniques for collecting, analyzing, and processing data over multiple channels. A decentralized computing network comprises a plurality of computing nodes, each of which is dedicated to analyzing and processing events for a particular channel corresponding to a geographic region. Each node of the decentralized computing network can operate independently to process channel analysis data for a corresponding channel. The decentralized configuration of the nodes enables efficient processing of data collected over large geographic areas, increases the reliability of the system, and facilitates easy scaling of the system. Other embodiments are disclosed herein as well.

Enhanced management of egress traffic to a peer communications network

This disclosure describes systems, methods, and devices related to managing egress traffic from a network to one or more peer networks. A method may include generating, using a load balancer of a network, a dynamic logical egress traffic threshold for a peer network; determining, using the load balancer, that first traffic from the network to the peer network is below the logical egress traffic threshold; directing second traffic from the network to the peer network based on the determination that the first traffic is below the logical egress traffic threshold; determining, using the load balancer, that the second traffic from the network to the peer network has reached the logical egress traffic threshold; and directing third traffic from the network away from the peer network based on the determination that the second traffic has reached the logical egress traffic threshold.

ENHANCED MANAGEMENT OF EGRESS TRAFFIC TO A PEER COMMUNICATIONS NETWORK
20260046331 · 2026-02-12 · ·

This disclosure describes systems, methods, and devices related to managing egress traffic from a network to one or more peer networks. A method may include generating, using a load balancer of a network, a dynamic logical egress traffic threshold for a peer network; determining, using the load balancer, that first traffic from the network to the peer network is below the logical egress traffic threshold; directing second traffic from the network to the peer network based on the determination that the first traffic is below the logical egress traffic threshold; determining, using the load balancer, that the second traffic from the network to the peer network has reached the logical egress traffic threshold; and directing third traffic from the network away from the peer network based on the determination that the second traffic has reached the logical egress traffic threshold.