Communications devices, communications systems and associated communications methods are described. According to one aspect, a communications device includes processing circuitry configured to access a value indicative of a signal to noise ratio of a communications signal received at a second communications device of a communications system after transmission of the communications signal from a first communications device of the communications system at a first moment in time, select one of a plurality of different adjustments, and use the value and the one adjustment to control a communications parameter of the communications signal transmitted at a second moment in time after the first moment in time.

A system for constructing and storing procedures for troubleshooting computer networks. A user can design and add troubleshooting steps, via a GUI, to define the procedure including annotations. Each step is configured to take an action on the network. The order of the steps can be re-arranged via the GUI. The procedure can be stored and re-executed by another user.

A system for constructing and storing procedures for troubleshooting computer networks. A user can design and add troubleshooting steps, via a GUI, to define the procedure including annotations. Each step is configured to take an action on the network. The order of the steps can be re-arranged via the GUI. The procedure can be stored and re-executed by another user.

A network quality detection method and device, a network element device, a computer device, and a computer readable medium. The method comprises: separately sending a subscription command to an ingress network element device and an egress network element device of a service flow, the subscription command comprising at least a detection type and a reporting period, so that network element devices bearing the service flow send data according to the detection type and the reporting period; receiving the data sent by the network element devices; determining the path of the service flow according to the data; and detecting the network quality of the path according to the data and a predetermined indicator threshold.

Facilitating localization of faults in core, edge, and access networks is provided herein. Operations of a system can include establishing a restoration of a group of communication paths of a network infrastructure that includes network nodes between a root network node and a leaf network node. A fault is determined to exist in the group of communication paths between the root network node and the leaf network node. The operations also can include determining that a defined network node of the network nodes is a source of the fault based on respective positions of user equipment experiencing the fault relative to the defined network node. Further, the operations can include removing the fault based on controlling a functionality of the defined network node.

A data processing method where an analysis device obtains first network data and historical fault propagation paths and processes the first network data to obtain a first fault propagation path. When the historical fault propagation paths include a target fault propagation path that is the same as the first fault propagation path, the analysis device updates a quantity of target fault propagation paths.

Computational methods and systems troubleshoot problems in a data center network. A dependency graph is constructed in response to an entity of the network exhibiting anomalous behavior. The dependency graph comprises nodes that correspond to metrics of entities that transmit data to and receive data from the entity over the network and edges that represent a connection between metrics. An anomaly score is determined for each metric of the dependency graph. Correlated metrics connected by the edges of the dependency graph are determined. Time-change events of the metrics of the dependency graph are also identified. Each metric of the dependency graph is rank ordered based on the anomaly scores, correlations with other metrics, and the time-change events. Higher ranked metrics are more likely associated with a problem in the network that corresponds to the anomalous behavior of the entity.

Asset error remediation is provided. Risk and classification of an asset error are analyzed to prioritize asset error remediation for an asset based on risk criticality, risk context, and vulnerability level corresponding to the asset by detecting suspicious behavior and risk exposure to the asset in a heterogeneous distributed computing environment using artificial intelligence. A priority of the asset error remediation is determined to fix the asset within the heterogeneous distributed computing environment based on the risk and the classification of the asset error. A set of action steps is performed to fix the asset within the heterogeneous distributed computing environment based on the priority of the asset error remediation.

An abnormality detection device according to the present invention is a video transmission state abnormality detection device connected via a network to a plurality of video transmission devices, an IP packet transfer device on the transmission side, an IP packet transfer device on the reception side, and a plurality of video reception devices. The video transmission state abnormality detection device prepares a transmission/reception IP flow table by aggregating IP flow information for the devices, detects an abnormality in transmission on the basis of the transmission/reception IP flow table, and specifies the location of the abnormality. The abnormality detection device according to the present invention can automatically detect the amount of traffic and specify which part of a transmission path an abnormality is caused on, without the need for advance setting. Therefore, video or sound traffic can be monitored efficiently.

A forwarding device receives at least one service flow; the forwarding device obtains service information of the at least one service flow, where the service information of the service flow includes identification information of a network object to which the service flow belongs and M key performance indicators KPIs of the service flow, M is an integer greater than 0, and the network object includes one or more devices; and the forwarding device sends training information to a first device, where the training information includes the service information of the at least one service flow or a feature set obtained based on the service information of the at least one service flow, the training information is used to train a fault detection model, and the fault detection model is used to detect whether the network object is in a faulty state.