Techniques for managing support computing services in computing systems are disclosed. One example technique includes analyzing data representing a service ticket having data representing multiple messages exchanged between the user and a support entity of a support tier in the computing system. Based on the analysis, an interaction pattern in the multiple messages can be identified. The interaction pattern includes a sequence of words or phrases arranged in a chronological order. The method can further include determining whether the identified interaction pattern matches one or more interaction patterns corresponding to previously escalated service tickets and triggering a notification of the immediate escalation of the service ticket to another support entity in another support tier in response to determining that the interaction pattern matches one of the one or more interaction patterns corresponding to previously escalated service tickets.

A system for monitoring quantized signals in a bidirectional data stream and alerting a networked device of metric divergence by georegion includes a computing system that automatically, for each of multiple user entities, receives input signals and stores corresponding records, associated with the user entity, each representing a quantized input event. The computing system increments a resource of the user entity by a respective input quantity. Georegion-specific attributes associated with a respective georegion are discriminated, and the input records are associated with georegion. The computing system measures user-specific georegion-specific metrics for each georegion and determines whether the metrics diverge from a georegion-specific index. An alert is sent across a network for display on a user device upon determining a user-specific georegion-specific metric diverges from a georegion-specific index.

Disclosed are a method and device for providing network analytics information in a wireless communication network. A method for providing network analytics information by means of a network data collection and analytics function (NWDAF) entity in a wireless communication network may comprise the steps of: receiving, from a consumer network function (NF), a request message including information indicating a request time interval related to analytics information; in response to the request message, transmitting, to the consumer NF, a response message including information notifying that real-time analytics information can be provided; and transmitting, to the consumer NF, the analytics information corresponding to the request message within the request time interval.

Described herein are methods, systems, and platforms comprising neural networks for control system anomaly detection.

A system, method, and computer program product are provided for a determining a network situation in a communication network. In use, at least one threshold value of at least one operational parameter of a communication network is obtained, the at least one operational parameter representing at least one operational status of at least one of a computational device or a communication device. Additionally, log data of the communication network is obtained, the log data containing at least one value of the at least one operational parameter reported by at least one network entity of the communication network. The at least one value of the at least one operational parameter of the log data is compared with a corresponding threshold value of the at least one threshold value to form a detection of a network situation. Further, the detection of the network situation is reported if the at least one value of the at least one operational parameter of the log data traverses the corresponding threshold value of the at least one threshold value.

A framework to handle monitoring and automatic fault manifestation in cloud networks. Multiple techniques correlate the logs of different cloud services or generate independent capsules for each component, VM, storage, or transaction. In a first exemplary technique, an authentication token is provided by an authentication service for logs during a period of an event. In a second exemplary technique, a unique instance ID for multiple distinct processes may be created in a data model of notification logs or service logs.

Example implementations include a method, apparatus and computer-readable medium for processing excess event messages using a mobile application, comprising rendering, via the mobile application, a first view displaying first state information of a control panel configured to receive event information from one or more sensors in a physical location. The implementations further include controlling, data flow of a plurality of event messages generated by the control panel. Additionally, the implementations further include selecting one or more event messages of the plurality of event messages from the processing queue based on a dispatch timer and a dispatch threshold. Additionally, the implementations further include generating a second view based on processing of the one or more event messages and blocking processing of the processing queue. Additionally, the implementations further include rendering the second view displaying second state information of the control panel.

Example implementations include a method, apparatus and computer-readable medium for synchronizing an event monitoring application with an event monitoring service, comprising receiving, from the event monitoring service, based on subscribing to a control panel, a current state of the control panel. In addition, the implementations further include receiving, based on the subscribing, a first event message from the control panel. Further, the implementations further include determining, in response to a conflict between the first event message and the current state of the control panel, an updated state of the control panel based on comparing a first attribute of the first event message to a second attribute of a second event message of the current state of the control panel. Additionally, the implementations further include displaying the updated state of the control panel.

Network communication events are filtered to remove the network communication events having a predicted unrelatedness to beaconing. Each network communication event has a timestamp, a source entity, and a destination entity. The filtered network communication events are aggregated by unique source entity-destination entity pairs. For each unique source entity-destination entity pair, the network communication events are timestamp-sorted, time differentials between the timestamps of adjacent network communication events are calculated, and a beacon likelihood metric is calculated from the calculated time differentials. Which of the unique source entity-destination entity pairs are indicative of beaconing are identified based on the beacon likelihood metric calculated for each unique source entity-destination entity pair.

This disclosure describes systems, methods, and devices related to network outage management. A method may include receiving a first indication of a first cable system outage. The method may include identifying a start time associated with the first cable system outage, and determining, based on the start time, a time period during which to refrain from generating a service ticket indicative of the first cable system outage. The method may include determining that the first cable system outage has not ended at an end time of the time period, and receiving a second indication of a second cable system outage. The method may include determining that the second cable system outage begins during the time period and has not ended at the end time. The method may include generating and sending a service ticket indicative of the first cable system outage and the second cable system outage.