Examples herein describe systems and methods for self-healing in a Telco network function virtualization cloud. KPI attributes for virtual network functions can be mapped to physical fault notifications to create synthesized alerts. The synthesized alerts can include information from both a virtual and physical layer, allowing a self-healing action framework to determine root causes of problems in the Telco cloud. Remedial actions can then be performed in either the virtual or physical layer of the Telco cloud. Remedial actions in one layer can be based on root causes identified in the other, which can allow for remediation before network downtime occurs.

A wireless device includes a user interface that generates a pairing signal in response to an indication from a user to pair the wireless device to at least one remote device and generates a first location request signal in response to a second indication from a user to locate the at least one remote device. A short-range wireless transceiver communicates RF signals to pair the wireless device to the at least one remote device and that transmits a first RF paging signal to the at least one remote device in response to the location request signal.

Systems, methods, and apparatuses for remote evaluation of content delivery service are described. A remote computing device may determine the existence and performance characteristics of devices and equipment at a premises by monitoring and analyzing data from a network associated with the premises to determine the presence or absence of equipment, compatibility issues, and performance quality.

A system comprises an enterprise network system and engine that could be inside an enterprise or hosted on a public and/or private cloud infrastructure. The engine has a discovery module coupled to a switch device, an AI and machine learning based monitoring and detection module coupled to the switch device and end point devices or assets including laptops, workstations and servers, and a remediation module coupled to the switch device. The system provides processes for building a network endpoint state transition model. The system can be unsupervised and is completely based on artificial intelligence processes. The network endpoint model is constructed by using a network identity and network behavior observed through data traffic flow to capture co-occurrence of data communications or connections in at least two consecutive observation windows or time frames. This network endpoint connection state transition model is used for detecting behavior anomalies.

This disclosure relates to method and system for performing effective orchestration of cognitive functions (CFs) in a distributed heterogeneous communication network. In one embodiment, the method may include determining a fault or a performance issue and associated causes, related to a set of network slices in the distributed heterogeneous communication network or a set of services across the set of network slices, using CFs associated with each of the set of services or with each of the set of network slices. The method may further include determining possible resolutions for the fault or the performance issue based on the associated causes, identifying a resolution by evaluating each of the possible resolutions for at least one of a suitability to or an impact on the set of services or the set of network slices, and implementing the resolution on one or more affected network segments of the set of network slices.

A wireless device includes a user interface that generates a pairing signal in response to an indication from a user to pair the wireless device to at least one remote device and generates a first location request signal in response to a second indication from a user to locate the at least one remote device. A short-range wireless transceiver communicates RF signals to pair the wireless device to the at least one remote device and that transmits a first RF paging signal to the at least one remote device in response to the location request signal.

Systems, methods, and apparatuses for remote evaluation of content delivery service are described. A remote computing device may determine the existence and performance characteristics of devices and equipment at a premises by monitoring and analyzing data from a network associated with the premises to determine the presence or absence of equipment, compatibility issues, and performance quality.

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.

A method is provided for identifying an anomaly in a communications network, the communications network covering a geographical area. The method comprises defining a plurality of regions within the geographical area. A measurement of a network performance characteristic is received from a user equipment, UE, connected to the communications network. The measurement is associated with a geographical location. A region of the plurality of regions which contains the geographical location is identified, and it is determined that there is an anomaly in the communications network within the identified region.

Embodiments herein may present a multi-tile processor including a plurality of processor tiles, and a plurality of interconnects selectively coupling the plurality of processor tiles to each other. A first processor tile may include a memory to store a bulletin board to hold a message, an execution unit, and an encapsulated software module. The encapsulated software module may select a second processor tile coupled with the first processor tile by an interconnect to be a part of a signal pathway. The second processor tile may be selected based on a selection criterion of the signal pathway and the message held in the bulletin board. The encapsulated software module may post and read a message at the bulletin board stored in the memory, or read a message from a bulletin board stored in a memory of the second processor tile. Other embodiments may be described and/or claimed.