Methods, apparatuses, or computer program products provide for generating a predictive causal probability score data object. A complex federated service network may be monitored to identify a service incident data object associated with a service incident. A predictive causal machine learning model may generate a predictive causal probability score data object based at least in part on a service incident time associated with the service incident data object. The predictive causal probability score data object may be output.

An application and network analytics platform can capture telemetry from servers and network devices operating within a network. The application and network analytics platform can determine an application dependency map (ADM) for an application executing in the network. Using the ADM, the application and network analytics platform can resolve flows into flowlets of various granularities, and determine baseline metrics for the flowlets. The baseline metrics can include transmission times, processing times, and/or data sizes for the flowlets. The application and network analytics platform can compare new flowlets against the baselines to assess availability, load, latency, and other performance metrics for the application. In some implementations, the application and network analytics platform can automate remediation of unavailability, load, latency, and other application performance issues.

Disclosed are embodiments for automatically resolving faults in a complex network system. Some embodiments monitor one or more of system operational parameter values and message exchanges between network components. A machine learning model detects a fault in the complex network system, and an action is selected based on a cause of the fault. After the action is applied to the complex network system, additional monitoring is performed to either determine the fault has been resolved or additional actions are to be applied to further resolve the fault.

A problem in a cloud infrastructure may be identified when a server computer deviates from a normal level of operation based on anomaly scores, which generates an alert and an alert time that indicates when the alert is generated. Methods then determine which virtual machine (“VM”) and other IT objects/resources or their pools contribute to the problem within a time window surrounding the estimated problem start time and calculate which objects show similar, related anomalous behavior. Method also generate ranked remediation recommendations on an object level and server computer-to-object level. The methods generate results that enable a system administrator to identify the start time of the problem and identify the objects that are responsible for the problem.

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.

Systems and methods are provided for enhanced alert generation based on real-time manipulation of datasets. An example method includes accessing datasets including a plurality of rows each indicating a plurality of values. Occurrences of alert definitions are monitored via applying the alert definitions to the datasets, the alert definitions specifying expressions utilizing one or more of the values, with an occurrence of an alert definition indicating satisfaction of the specified expression and causing an associated alert to be generated for evaluation. Presentation of an interactive user interface associated with customizing alert definitions is caused. The interactive user interface presents a first visual portion, the first visual portion enabling specification of an expression for a customized alert definition. The interactive user interface presents a second visual portion, the second visual portion comparing occurrences of an existing alert definition with occurrences of a customized alert definition specified in the first visual portion.

Techniques are disclosed for identifying faulty links in a virtualized computing environment. Network path latency information is received for one or more network paths in the networked computing environment. Based on the network path latency information, a probable presence of a faulty component is determined. In response to the determination, physical links for a network path associated with the probable faulty component are identified. Information indicative of likely sources of the probable faulty component is received from multiple hosts of the networked computing environment. Based on the identified physical links and information, a faulty component is determined.

A method of detecting loss of data connection in a plurality of links between an exchange and one or more of a plurality of network terminals arising during presence of a user at an intervention point node on the links between the exchange and the network terminals, comprising: receiving connection information about a loss of data connection on any one of the links; receiving duration information about a duration of the user presence at the intervention point node; determining if the loss of data connection occurred within the user presence duration; causing line tests to be conducted on each of the links for which loss of data connection is determined to have occurred within the user presence duration; receiving results of the line tests including a number of links being determined, by the line test, to exhibit a fault; and determining if the number of links determined to exhibit a fault exceeds a predetermined threshold number.

A method for analyzing failures in network resources in a multilayered communication network using passive shared risk resource groups may include, in a processor, identifying network resources in a plurality of network resources having common risk attributes. The network resources may be grouped into one or more passive shared risk resource groups (PSRG) based on the common risk attributes. A likelihood of a PSRG failure may be assessed for each of the one or more PSRGs.

The present invention relates to, in a wireless access system supporting an unlicensed band, methods for configuring and scheduling a partial subframe (pSF) and devices for supporting same. A method for receiving data through a cell (U cell) configured in an unlicensed band in a wireless access system for supporting an unlicensed band comprises the steps of: a terminal receiving control information from a base station through a primary cell (P cell) which is configured in a licensed band; and the terminal receiving, on the basis of the control information, downlink data from the base station through an unlicensed band cell (U cell) which is configured in an unlicensed band, wherein, if cross-carrier scheduling is configured in the terminal, the terminal not anticipating, as the subframe for receiving the downlink data, a partial subframe (pSF) which is transmitted in a state of having the first part of symbol emptied, wherein the pSF is configured to be smaller than one subframe.