In one embodiment, a device obtains an indication of a network event predicted by a routing engine for a network. The device initiates monitoring of one or more network paths associated with the network event, to determine one or more states of the network. The device makes a comparison between the one or more states of the network and a set of one or more constraints. The device provides a prediction cancelation notification to the routing engine, based on the comparison.

Techniques for enabling secure access to data using data blocks is described. Computing device(s) can provide instruction(s) to a component associated with an entity, wherein the instruction(s) are associated with an identifier corresponding to a data block of a plurality of data blocks. The computing device(s) can receive, from the component, data associated with the component, wherein the data is associated with the identifier and is indicative of a state of the component. The computing device(s) can store the data in the data block and monitor, using rule(s), changes to the state of the component based at least partly on the data in the data block. As a result, techniques described herein enable near real-time—and in some examples, automatic—reporting and/or remediation for correcting changes to the state of the component using data that is securely accessed by use of data blocks.

Techniques for enabling secure access to data using data blocks is described. Computing device(s) can provide instruction(s) to a component associated with an entity, wherein the instruction(s) are associated with an identifier corresponding to a data block of a plurality of data blocks. The computing device(s) can receive, from the component, data associated with the component, wherein the data is associated with the identifier and is indicative of a state of the component. The computing device(s) can store the data in the data block and monitor, using rule(s), changes to the state of the component based at least partly on the data in the data block. As a result, techniques described herein enable near real-time—and in some examples, automatic—reporting and/or remediation for correcting changes to the state of the component using data that is securely accessed by use of data blocks.

Embodiments include methods for a user equipment (UE) to perform quality of experience (QoE) measurements configured by a wireless network. Such methods include receiving, from a radio access network node (RNN) in the wireless network, a QoE measurement configuration for one or more services provided by the UE application layer. Such methods include performing application-layer QoE measurements for the one or more services according to the QoE measurement configuration and sending, to or via the RNN in accordance with QoE measurement configuration, one or more messages comprising: one or more QoE measurement reports comprising results of the QoE measurements; and network assistance information (NAI) related to one or more paths that carry data associated with the one or more services. Other embodiments include complementary methods for RNNs and measurement functions, as well as UEs, RNNs, and measurement functions configured to perform such methods.

Embodiments include methods for a user equipment (UE) to perform quality of experience (QoE) measurements configured by a wireless network. Such methods include receiving, from a radio access network node (RNN) in the wireless network, a QoE measurement configuration for one or more services provided by the UE application layer. Such methods include performing application-layer QoE measurements for the one or more services according to the QoE measurement configuration and sending, to or via the RNN in accordance with QoE measurement configuration, one or more messages comprising: one or more QoE measurement reports comprising results of the QoE measurements; and network assistance information (NAI) related to one or more paths that carry data associated with the one or more services. Other embodiments include complementary methods for RNNs and measurement functions, as well as UEs, RNNs, and measurement functions configured to perform such methods.

Described are examples for providing service level monitoring for a network hosting applications as a cloud service. A service level monitoring device may receive end-to-end measurements of service usage collected at user devices for a plurality of applications hosted as a cloud services. The service level monitoring device may determine degraded applications of the plurality of applications based on anomalies in the measurements. The service level monitoring device may determine a service level metric based on an aggregation of the degraded applications. In some examples, the service level monitoring device may detect a network outage affecting the service.

Methods are provided for recommending actions to improve operability of a network. In one implementation, a method includes acknowledging a plurality of subnetworks in a whole network, each subnetwork including multiple nodes and being represented by a tunnel group having multiple end-to-end tunnels through the subnetwork. The method also includes selecting a first group of subnetworks from the plurality of subnetworks and generating a Reinforcement Learning (RL) agent for each subnetwork of the first group. Each RL agent is based on observations of end-to-end metrics of the end-to-end tunnels of the respective subnetwork. The observations are independent of specific topology information of the subnetwork. Also, the method includes training a global model based on the RL agents of the first group of subnetworks and applying the global model to an Action Recommendation Engine (ARE) configured for recommending actions that can be taken to improve a state of the whole network.

A distributed network performance management system and method that distributes a large portion of the network performance management to wireless client devices connected to the network. Rather than rely on a central server to perform the bulk of network performance management, a distributed network performance management system offloads much of the work of service quality testing, reporting, and troubleshooting to wireless client devices that are connected to the network. It utilizes spare computing power and storage space on the wireless client devices to reduce the cloud operation costs of the system including such things as bandwidth requirements, data storage requirements, and data processing requirements.

Systems, methods, and computer-readable media including software logic are provided for optimizing Border Gateway Protocol (BGP) traffic in a telecommunications network. In one embodiment, systems and methods include, with a current state of one or more inter-Autonomous Systems (AS) links, causing performance of an action in the telecommunication network, determining a metric based on the action to determine an updated current state of the one or more inter-AS links, and utilizing the metric to perform a further action to achieve one or more rewards associated with the one or more inter-AS links.

Various arrangements for performing navigation based on characteristics of a cellular network are provided. A quality of experience (QoE) level required for a wireless service to be performed for a networked device may be determined. A current location and a destination for a vehicle may be determined. A wireless network coverage area map may be accessed that maps network performance characteristics for the cellular network across a geographic region. A navigation route from the current location to the destination based on the wireless network coverage area map and the determined QoE may be determined. The determined navigational route may be output to a navigation system.