公开(公告)号：US12238160B2

公开(公告)日：2025-02-25

申请号：US18356066

申请日：2023-07-20

Applicant: Amazon Technologies, Inc.

Inventor： Mihir Rajendrabhai Patel ,  Mustafa Ugur Torun ,  Jesse Marcus Dougherty

IPC: H04L67/10 ,  H04L41/0681 ,  G06N5/025 ,  H04L41/0631

Abstract: Methods, systems, and computer-readable media for implementing rule-based triggering in a provider network are disclosed. When conditions are met for one or more triggers, one or more rules that comprise the one or more triggers are determined. The conditions are determined in a provider network comprising a plurality of resources. One or more actions are determined in the one or more rules that comprise the one or more triggers. The one or more actions are performed, comprising modifying one or more of the resources in the provider network.

公开(公告)号：US20250062952A1

公开(公告)日：2025-02-20

申请号：US18935790

申请日：2024-11-04

Applicant: iStreamPlanet Co., LLC

Inventor： Nachiketa MISHRA

IPC: H04L41/0677 ,  H04L41/0631 ,  H04L65/61 ,  H04L65/80

Abstract: A method of measuring video stream visual stability, the method including receiving a first set of network packets carrying data of the video stream, determining network performance metrics for a session associated with the first set of network packets, retrieving priority fault errors from a packet header of at least one network packet of the first set of the network packets, adding the priority fault errors and the network performance metrics to time series data, and applying a machine learning model to the time series data to obtain a visual stability score for the first set of network packets.

公开(公告)号：US12224915B2

公开(公告)日：2025-02-11

申请号：US17477667

申请日：2021-09-17

Applicant: Level 3 Communications, LLC

Inventor： Steven M. Casey ,  William R. Henning ,  Stephen Opferman ,  Todd A Borchert ,  Rahul Chowdhury

IPC: H04L41/16 ,  H04L41/0631 ,  H04L43/04

Abstract: Examples of the present disclosure relate to an AI-supported CDN. In examples, a data processing engine processes log data of a CDN node according to a model to identify an issue. An issue indication is provided to a solution generation engine, which generates a set of solutions to automatically resolve the issue. The set of solutions is provided to a solution implementation engine, which iteratively implements solutions to resolve the issue using solution implementation information associated with a given solution. Thus, the data processing engine need not have knowledge regarding the specific hardware and/or software used within the CDN. Similarly, the solution generation engine need not have knowledge of the structure of the CDN and/or configuration of devices associated with the identified issue, such that the solution implementation engine provides a layer of abstraction between a solution and the implementation-specific details used to implement the solution within the CDN.

公开(公告)号：US20250047595A1

公开(公告)日：2025-02-06

申请号：US18924565

申请日：2024-10-23

Applicant: Level 3 Communications, LLC

Inventor： David Sutton ,  Steve Toms ,  Shelley Goldner ,  Shelli L. Hurd

IPC: H04L45/42 ,  H04L9/40 ,  H04L41/0604 ,  H04L41/0631 ,  H04L45/00 ,  H04L45/02 ,  H04L45/302

Abstract: Novel tools and techniques are provided for implementing name-based routing through networks. In various embodiments, a broker manager in each of a plurality of networks may receive a subscription request for a network device from a client device, each device being locally accessible or disposed in an upstream or downstream network. The broker manager uses its client broker to communicate with a locally accessible client device, and uses its mediator broker (and, sometimes, an intermediate device(s)) to communicate with a locally accessible network device. The broker manager otherwise uses its messaging brokers to communicate with control channels of one or more networks. Once subscription with the network device has been established, any commands and responses between the client device and the network device may be routed over pub/sub channels via the broker managers and their brokers using name-based routing, without routing based on IP address of the network device.

公开(公告)号：US12218808B2

公开(公告)日：2025-02-04

申请号：US18195974

申请日：2023-05-11

Applicant: Google LLC

Inventor： Jinjie He ,  Matthew Johnston ,  Anurag Sharma

IPC: H04L41/5025 ,  H04L41/0631

Abstract: The subject matter described herein provides systems and techniques for a network planning and optimization tool that may allow for network capacity planning using key network failures for an arbitrary pair of network topology and demands. Performing network capacity planning with key network failures, instead of using other techniques, may avoid over-building the topology of a network. In particular, key network failures may be generated from the probabilistic failures, and the impact of these failures on a network may be computed. Expected flow availability SLO or a function thereof may be computed, using this information, and used by the tool to design a robust network. With an embedded flow availability calculation and updated risk framework, the capacitated cross-layer network topologies output by the tool may meet network demands/flows with their respective SLO type at the lowest cost.

公开(公告)号：US12212595B2

公开(公告)日：2025-01-28

申请号：US17505976

申请日：2021-10-20

Applicant: Palo Alto Networks, Inc.

Inventor： Dima Stopel ,  Liron Levin ,  Daniel Shapira ,  Nitsan Ben Nun ,  John Morello

IPC: H04L9/40 ,  G06F9/54 ,  H04L41/0631 ,  H04L41/0866 ,  H04L43/12 ,  H04L43/50

Abstract: A method and system for protecting an application from unsecure network exposure. The method includes identifying an at-risk application, wherein identifying the at-risk application further comprises determining that the application is configured incorrectly; identifying at least one port through which the at-risk application is accessible when the at-risk application is determined to be configured incorrectly; and determining, based on the identified at least one port through which the at-risk application is accessible, whether an exposure vulnerability exists, wherein the exposure vulnerability is an unapproved exposure of at least one of the at least one port to external resources.

公开(公告)号：US12212451B2

公开(公告)日：2025-01-28

申请号：US18241682

申请日：2023-09-01

Applicant: Cisco Technology, Inc.

Inventor： Magnus Mortensen ,  Jay Kemper Johnston ,  David C. White, Jr.

IPC: H04L41/0631 ,  G06N3/08 ,  H04L41/0654

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.

公开(公告)号：US12206566B2

公开(公告)日：2025-01-21

申请号：US18155665

申请日：2023-01-17

Applicant: Juniper Networks, Inc.

Inventor： Prashant Kumar ,  Jisheng Wang ,  Gorakhanath Kathare ,  Yogesh B G ,  Kaushik Adesh Agrawal ,  Jie C Jiang ,  Scott A. McCulley ,  Greg Schrock

IPC: H04L43/0817 ,  H04L41/0604 ,  H04L41/0631 ,  H04L41/08 ,  H04L41/16 ,  H04L43/067

Abstract: Techniques are described for monitoring application performance in a computer network. For example, a network management system (NMS) includes a memory storing path data received from a plurality of network devices, the path data reported by each network device of the plurality of network devices for one or more logical paths of a physical interface from the given network device over a wide area network (WAN). Additionally, the NMS may include processing circuitry in communication with the memory and configured to: determine, based on the path data, one or more application health assessments for one or more applications, wherein the one or more application health assessments are associated with one or more application time periods for a site, and in response to determining at least one failure state, output a notification including identification of a root cause of the at least one failure state.

公开(公告)号：US20250023768A1

公开(公告)日：2025-01-16

申请号：US18764150

申请日：2024-07-04

Applicant: T-Mobile Innovations LLC

Inventor： Jose A. Gonzalez ,  Brian D. Lushear ,  Dalton J. Sherley ,  Todd M. Szymanski ,  Miguel A. Betancourt Villavicencio

IPC: H04L41/0631 ,  H04L41/0654

Abstract: A telecommunication network management system. The system comprises an incident reporting application that creates incident reports pursuant to alarms on network elements of a telecommunication network and wherein one of the incident reports is associated with a large-scale event (LSE), wherein the LSE incident report identifies alarms at a plurality of different network elements as associated with the LSE; and an incident management application that analyzes attributes of cell sites identified in the LSE incident report as impacted by the LSE, determines that at least 75% of the cell sites receive backhaul service from a same alternative access vendor (AAV) and that at least one backhaul circuit of the at least 75% of the cell sites is in an alarmed state, causes the incident reporting application to record a root cause of the LSE incident report as an AAV fault.

公开(公告)号：US12199813B2

公开(公告)日：2025-01-14

申请号：US18345422

申请日：2023-06-30

Applicant: Juniper Networks, Inc.

Inventor： Rahul Gupta ,  Tarun Banka ,  Mithun Chakaravarrti Dharmaraj ,  Thayumanavan Sridhar ,  Raj Yavatkar

IPC: G06F15/173 ,  H04L41/0631 ,  H04L41/16

Abstract: A computing system comprising a memory and processing circuitry may perform the techniques. The memory may store time series data comprising measurements of one or more performance indicators. The processing circuitry may determine, based on the time series data, an anomaly in the performance of the network system, and create, based on the time series data, a knowledge graph. The processing circuitry may determine, in response to detecting the anomaly, and based on the knowledge graph and a machine learning (ML) model trained with previous time series data, a causality graph. The processing circuitry may determine a weighting for each edge in the causality graph, determine, based on the edges in the causality graph, a candidate root cause associated with the anomalies, and determine a ranking of the candidate root cause based on the weighting. The analysis framework system may output at least a portion of the ranking.