Multicasting within a mutual subnetwork

    公开(公告)号:US12212485B2

    公开(公告)日:2025-01-28

    申请号:US18317576

    申请日:2023-05-15

    Abstract: A method may include bridging in, via a fabric, a multicast data packet from a source device to a first edge device of a plurality of edge devices and flooding the multicast data packet to the plurality of edge devices within a mutual subnetwork of the fabric. The method further includes bridging out the multicast data packet from a second edge device of the plurality of edge devices to a receiving device. The source device and the receiving device are located within the mutual subnetwork.

    Network issue tracking and resolution system

    公开(公告)号:US12212451B2

    公开(公告)日:2025-01-28

    申请号:US18241682

    申请日:2023-09-01

    Abstract: In one embodiment, an issue analysis service obtains telemetry data from a plurality of devices in a network across a plurality of time intervals. The service detects a failure event in which a device in the network is in a failure state. The service clusters the telemetry data obtained prior to the failure event into rounds according to time intervals in which the telemetry data was collected. Each round corresponds to a particular time interval. The service applies a machine learning-based classifier to each one of the rounds of clustered telemetry data to identify one or more common traits appearing in the telemetry data for each round. The service generates a trait change report indicating a change in the one or more common traits appearing in the telemetry data across the rounds leading up to the failure event.

    Dynamic Wifi Transmit Power Reduction to Conserve Device Power in a Mixed 5G/Wifi Service Area

    公开(公告)号:US20250031142A1

    公开(公告)日:2025-01-23

    申请号:US18356736

    申请日:2023-07-21

    Abstract: In one embodiment, a method can receive transmission metadata associated with a plurality of devices within an Internet of Things (IoT) network. The method can use a transmission sensing component (TSC) to measure transmission energy cost for each of the plurality of devices over a time period using the transmission metadata. The method can use a central compute engine (CCE) and the transmission energy cost for each of the plurality of devices to determine a plurality of transmission features associated with the plurality of devices having a transmission energy cost that is minimized. The method can use a transmission scheduling engine (TSE) and the plurality of transmission features to generate a transmission mode schedule to reduce a transmission energy cost for the plurality of devices within the IoT network. The method can adjust a transmission mode associated with the plurality of devices based on the transmission mode schedule.

    ELIMINATING DOUBLE ENCRYPTION IN ZERO-TRUST NETWORK ACCESS AUTHENTICATED SESSIONS

    公开(公告)号:US20250023915A1

    公开(公告)日:2025-01-16

    申请号:US18220057

    申请日:2023-07-10

    Abstract: Techniques and architecture are described for eliminating double encryption in zero-trust network access authenticated sessions. The techniques include an endpoint client-based proxy of a network receiving, from a browser, a request to access a protected private service. The endpoint client-based proxy pauses access of the browser to the protected private service and establishes a transport layer security (TLS) connection between the endpoint client-based proxy and a zero-trust network access (ZTNA) gateway. The ZTNA gateway determines whether the protected private service uses a secure transport mechanism and establishes either a null cipher encrypted tunnel between at least the endpoint client-based proxy and the ZTNA gateway or a non-null cipher encrypted tunnel between at least the endpoint client-based proxy and the ZTNA gateway. The endpoint client-based proxy resumes access of the browser to the protected private service.

    AUTOMATIC ENCRYPTION FOR CLOUD-NATIVE WORKLOADS

    公开(公告)号:US20250023852A1

    公开(公告)日:2025-01-16

    申请号:US18901354

    申请日:2024-09-30

    Abstract: Techniques for routing service mesh traffic based on whether the traffic is encrypted or unencrypted are described herein. The techniques may include receiving, from a first node of a cloud-based network, traffic that is to be sent to a second node of the cloud-based network and determining whether the traffic is encrypted or unencrypted. If it is determined that the traffic is encrypted, the traffic may be sent to the second node via a service mesh of the cloud-based platform. Alternatively, or additionally, if it is determined that the traffic is unencrypted, the traffic may be sent to the second node via an encrypted tunnel. In some examples, the techniques may be performed at least partially by a program running on the first node of the cloud-based network, such as an extended Berkeley Packet Filter (eBPF) program, and the like.

    BACKUP PATH DETERMINATION FOR OPTICAL NETWORKS

    公开(公告)号:US20250023814A1

    公开(公告)日:2025-01-16

    申请号:US18680155

    申请日:2024-05-31

    Abstract: Backup communication paths can be determined for use by different circuits of a network in the event of a failure of active communication paths. The disclosed backup path determination techniques can reduce contention in which multiple circuits share a backup path. Contention metrics are determined for communication paths in the network. The contention metrics are used to determine a communication path for contention reduction. A circuit that uses the communication path as a backup path is selected, and the backup path of the selected circuit is modified to avoid the communication path. Contention metrics can then be recalculated, and contention reduction techniques can be repeated until a desired convergence point is reached.

    Subscription-Based Sustainable Network Administration

    公开(公告)号:US20250023807A1

    公开(公告)日:2025-01-16

    申请号:US18349799

    申请日:2023-07-10

    Abstract: Described herein are systems and methods for optimizing energy efficiency in a network utilizing a control plane or other network administration device or software suite. The control plane continuously monitors end-to-end network paths and collects real-time data about network topology, traffic patterns, and connected devices. By analyzing the collected network data, the control plane identifies power needs for network nodes and generates energy saving recommendations or instructions tailored to each node's specific capabilities. Network nodes can subscribe to the energy efficiency service provided by the control plane, receive network usage data, and execute energy saving operations based on the recommendations. The control plane dynamically updates the energy saving recommendations in response to changes in network conditions, enabling network nodes to optimize their energy efficiency without compromising network performance and availability. These updates can be based on current network conditions but can be generated from historical data and/or machine learning processes.

    Client-Aware Floorplan Management with Predicted Confidence Levels

    公开(公告)号:US20250023777A1

    公开(公告)日:2025-01-16

    申请号:US18350873

    申请日:2023-07-12

    Abstract: Devices, systems, methods, and processes for managing network devices through generated predictions and associated confidence levels are described herein. Networks within a floorplan can be operated at full capacity all day in an inefficient way when not adjusted due to traffic patterns and seasonality changes. Data related to the topology of the network, along with historical data can be utilized to generate predictions of various network needs. For example, the overall network throughput capacity needs may be predicted for a series of points in the future. An associated confidence level can be generated as well including one or more confidence intervals. These can be utilized to select a future need for the network and generate a corresponding sustainable network configuration for the network devices and/or their transceivers that can provide sufficient network needs while minimizing the overall power used. This can be automated over time once trust has been established.

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