An apparatus of a management service equipment includes processing circuitry. To configure the management service equipment for E2E performance measurements in a 5G network with a plurality of network functions (NFs), the processing circuitry is to decode RAN latency received from a RAN within the 5G network. The RAN latency is associated with transmission of an Internet protocol (IP) packet between a UE and a data network (DN) via the RAN. A user plane function (UPF) latency associated with communication of the IP packet between the RAN and a UPF within the 5G network is determined. A DN latency associated with communication of the IP packet between the UPF and the DN is determined. An E2E performance measurement calculation is performed to determine an E2E latency associated with communicating the IP packet between the UE and the DN based on the RAN latency, the UPF latency, and the DN latency.

Methods and systems for customizing the characteristic of an electronic device (in the Internet of Things (IoT) environment based on at least one user's physiological state are provided. The method includes identifying context of the electronic device in response to receiving at least one event by the electronic device, wherein the at least one context includes at least one current user activity and an environmental context of a user. The method includes determining the change in a health parameter of the user and re-calibrates the characteristics of an electronic device through the magnitude of change in health parameter from the learning module. The method includes identifying current user activity and an environment context of the user on receiving the event from the electronic device).

Methods and systems for customizing the characteristic of an electronic device (in the Internet of Things (IoT) environment based on at least one user's physiological state are provided. The method includes identifying context of the electronic device in response to receiving at least one event by the electronic device, wherein the at least one context includes at least one current user activity and an environmental context of a user. The method includes determining the change in a health parameter of the user and re-calibrates the characteristics of an electronic device through the magnitude of change in health parameter from the learning module. The method includes identifying current user activity and an environment context of the user on receiving the event from the electronic device).

A method including transmitting, by a requesting user device to an infrastructure device associated with a virtual private network (VPN), a connection request for receiving VPN services; receiving, by the requesting user device from the infrastructure device, connection information associated with a VPN server selected for providing the VPN services to the requesting user device, the VPN server being selected based at least in part on a comparison between a parameter associated with the requesting user device and a current parameter associated with another user device currently receiving VPN services from the VPN server; and transmitting, by the requesting user device to the VPN server, an initiation request to receive the VPN services from the VPN server based at least in part on utilizing the connection information is disclosed. Various other aspects are contemplated.

A method and apparatus for use in a mobile device telemetry system is disclosed. The method and apparatus relate to aspects in a mobile device protocol health monitoring system. The method and apparatus provide a system to monitor and assess protocol health, log protocol health data and communicate the logs of protocol health data to a remote system. The system may also take corrective actions based upon specific indications of protocol health. The method and apparatus also provides protocol health indications and corrective actions based upon monitoring the message transmission rate. The method and apparatus also provides protocol health indications and corrective actions based upon monitoring for a line disconnect.

A method and apparatus for use in a mobile device telemetry system is disclosed. The method and apparatus relate to aspects in a mobile device protocol health monitoring system. The method and apparatus provide a system to monitor and assess protocol health, log protocol health data and communicate the logs of protocol health data to a remote system. The system may also take corrective actions based upon specific indications of protocol health. The method and apparatus also provides protocol health indications and corrective actions based upon monitoring the message transmission rate. The method and apparatus also provides protocol health indications and corrective actions based upon monitoring for a line disconnect.

A system and method are disclosed for training a machine learning model using information pertaining to transmissions of one or more media items to user devices associated with a user account. Generating training data for the machine learning model includes generating first contextual information associated with a first user device and generating a first target output that identifies an indication of a preference of a user preference to cancel the first transmission. The method includes providing the training data to train the machine learning model.

In one aspect, a method performed by a network node for predicting a probability of state change of a node (e.g., a fog node) in a network is provided. The network node determines a set of weights based on attributes of the node. The network node estimates the probability of state change of the node using the determined set of weights and a set of one or more attribute values related to the node where determining the set of weights includes maximizing an evaluation value associated to the node.

A system for simultaneously testing whether a plurality of electronic devices connected via a communication network correctly handle exceptions. The system includes a communication network, and a plurality of electronic devices and a testing device connected via the communication network. The testing device includes an electronic processor. The electronic processor is configured to send a first status query message to the plurality of electronic devices, send fuzzed data to one or more of the plurality of electronic devices, and send a second status query message to the plurality of the electronic devices. The electronic processor is also configured to, for each electronic device that responds to the first status query message with a valid response and responds to the second status query message with an invalid response or fails to respond to the second status query message, record the electronic device in a failure log.

A method comprising discovering workload attributes and identify dependencies, receiving utilization performance measurements including memory utilization measurements of at least a subset of workloads, grouping workloads based on the workload attributes, the dependencies, and the utilization performance measurements into affinity groups, determining at least one representative synthetic workload for each affinity group, each representative synthetic workload including a time slice of a predetermined period of time when there are maximum performance values for any number of utilization performance measurements among virtual machines of that particular affinity group, determining at least one cloud service provider (CSP)'s cloud services based on performance of the representative synthetic workloads, and generating a report for at least one of the representative synthetic workloads, the report identifying the at least one of the representative synthetic workloads and the at least one CSP's cloud services including cloud workload cost.