H04L43/0829

Path metric oscillation analysis with SLA threshold adjustment

In one embodiment, a device detects oscillations in a path metric for a network path between violating a service level agreement for an online application and not violating the service level agreement for the online application. The device classifies the oscillations as near-boundary or wild, based on degrees to which the path metric violated a threshold of the service level agreement. The device provides data regarding the oscillations to a user interface that includes an indication as to whether the oscillations are near-boundary or wild. The device adjusts the threshold of the service level agreement based in part on feedback from the user interface, when the oscillations are near-boundary.

DETERMINING QUALITY OF EXPERIENCE FOR COMMUNICATION SESSIONS

A computer-implemented method, computer program product, and computing system is provided for determining quality of experience for communication sessions. In an implementation, a method may include determining a plurality of intrusive quality of experience scores associated with a plurality of intrusive audio transmission samples. The method may also include determining a plurality of non-intrusive quality of experience scores associated with a plurality of non-intrusive audio transmission samples. The method may further include deriving a quality of experience coefficient based upon a relationship between the plurality of intrusive quality of experience scores and the plurality of non-intrusive quality of experience scores.

Overlay network encapsulation to forward data message flows through multiple public cloud datacenters

Some embodiments establish for an entity a virtual network over several public clouds of several public cloud providers and/or in several regions. In some embodiments, the virtual network is an overlay network that spans across several public clouds to interconnect one or more private networks (e.g., networks within branches, divisions, departments of the entity or their associated datacenters), mobile users, and SaaS (Software as a Service) provider machines, and other web applications of the entity. The virtual network in some embodiments can be configured to optimize the routing of the entity's data messages to their destinations for best end-to-end performance, reliability and security, while trying to minimize the routing of this traffic through the Internet. Also, the virtual network in some embodiments can be configured to optimize the layer 4 processing of the data message flows passing through the network.

Overlay network encapsulation to forward data message flows through multiple public cloud datacenters

Some embodiments establish for an entity a virtual network over several public clouds of several public cloud providers and/or in several regions. In some embodiments, the virtual network is an overlay network that spans across several public clouds to interconnect one or more private networks (e.g., networks within branches, divisions, departments of the entity or their associated datacenters), mobile users, and SaaS (Software as a Service) provider machines, and other web applications of the entity. The virtual network in some embodiments can be configured to optimize the routing of the entity's data messages to their destinations for best end-to-end performance, reliability and security, while trying to minimize the routing of this traffic through the Internet. Also, the virtual network in some embodiments can be configured to optimize the layer 4 processing of the data message flows passing through the network.

QUALITY OF SERVICE MEASUREMENT METHOD AND DEVICE, AND USER PLANE FUNCTION ENTITY
20220377591 · 2022-11-24 ·

The present disclosure relates to the technical field of 5G core networks, and provides a quality of service measurement method and device, a user plane function entity, and a computer-readable storage medium. The quality of service measurement method includes: a user plane function receiving a quality of service measurement request sent by a session management function, wherein the quality of service measurement request includes a trigger condition of a quality of service measurement failure and a measurement result of the quality of service measurement failure; the user plane function determining whether or not the trigger condition of the quality of service measurement failure is satisfied: and if so, the user plane function sending, to a control plane function, the measurement result of the quality of service measurement failure.

DATA COLLECTION SYSTEM, RECEPTION-SIDE APPARATUS, AND DATA COLLECTION METHOD
20220377001 · 2022-11-24 ·

A data collection system collects data of a monitoring target. The data collection system includes a transmission-side apparatus and a reception-side apparatus. The transmission-side apparatus includes an acquisition unit that acquires the data from the monitoring target, and a transmission unit that transmits the data if the data has changed. The reception-side apparatus includes a reception unit that receives the data from the transmission-side apparatus, and a determination unit that determines whether a data loss is present.

DATA COLLECTION SYSTEM, RECEPTION-SIDE APPARATUS, AND DATA COLLECTION METHOD
20220377001 · 2022-11-24 ·

A data collection system collects data of a monitoring target. The data collection system includes a transmission-side apparatus and a reception-side apparatus. The transmission-side apparatus includes an acquisition unit that acquires the data from the monitoring target, and a transmission unit that transmits the data if the data has changed. The reception-side apparatus includes a reception unit that receives the data from the transmission-side apparatus, and a determination unit that determines whether a data loss is present.

AUTOMATED ROOT CAUSE ANALYSIS OF UNDERPERFORMING VIDEO STREAMS BY USING LANGUAGE TRANSFORMERS ON SUPPORT TICKET SYSTEMS
20220376994 · 2022-11-24 · ·

A method and system corrects a content delivery infrastructure. The method of the system includes receiving a request to resolve reported issues for the content delivery infrastructure, collecting content delivery metrics for the content delivery infrastructure, executes a language transformer model on the request and the content delivery metrics to generate a set of possible resolutions with confidence ratings, and implementing an automated solution based on a resolution from the set of possible resolutions, in response to the resolution having a confidence rating above a threshold.

REAL-TIME DIGITAL DATA DEGRADATION DETECTION

Systems and methods are disclosed to monitor real-time digital data for degradation. In one embodiment, an intelligent electronic device (“IED”) in an electric power system may include an interface to receive a stream of digital data, the stream of digital data comprising a plurality of data frames. A protective action subsystem may monitor the sampled digital data and implement a protective action based on the stream of sampled digital data. A digital data degradation detection subsystem may analyze a plurality of digital metrics associated with the plurality of data frames and make a determination regarding degradation of a communication channel based on whether the plurality of digital metrics fails at least one threshold. In response to the determination, the digital data degradation detection subsystem may implement a response to the determination that the plurality of digital metrics fails at least one threshold.

Determining packet loss in a fronthaul link

It is presented a method for determining packet loss in a fronthaul link of a radio access network. The method being performed in a packet loss determiner and comprising the steps of: obtaining a set of user equipments, UEs, that are all scheduled to communicate over a radio interface in a scheduling interval; creating a subset of UEs, comprising a number of UEs, from the set of UEs, that are the UEs in the set being most vulnerable to fronthaul packet loss; determining, for each UE in the subset of UEs, whether the communication in the scheduling interval was unsuccessful; and determining a packet loss in the fronthaul link depending on to what extent each one of the UEs in the subset of UEs is determined to have had unsuccessful use of the radio interface.