The disclosure describes techniques for detecting network measurement inaccuracies through the detection of sender delays or packet drops. For example, a sender device of a test packet may determine whether the sender device is experiencing any issues in sending the test packet to a receiver device and notify a controller of the issues such that the controller may generate an indication that one or more Key Performance Indicator (KPI) measurements based on the test packets from the sender device are inaccurate and/or untrustworthy, remove the inaccurate KPI measurements, and/or adjust the inaccurate KPI measurements.

The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate, and provides an apparatus and a method for transmitting service provisioning information to a UE when the UE is in a reachable state. An operation method of a policy control function (PCF) entity includes: receiving a data management message including a service parameter generated by an application function (AF) entity from a network exposure function (NEF) entity; transmitting an N1N2 message indicating to transmit the service parameter to a user equipment (UE) to an access and mobility management function (AMF) entity; receiving, from the AMF entity, a transfer result message indicating whether the service parameter has been transmitted to the UE; and transmitting the transfer result message to the AF entity.

UE capability for support of machine-learning (ML) based channel environment classification may be reported by a user equipment to a base station, where the channel environment classification classifies a channel environment of a channel between the UE and a base station based on one or more of UE speed or Doppler spread, UE trajectory, frequency selectivity or delay spread, coherence bandwidth, coherence time, radio resource management (RRM) metrics, block error rate, throughput, or UE acceleration. The user equipment may receive configuration for ML based channel environment classification, including at least enabling/disabling of ML based channel environment classification. When ML based channel environment classification is enabled, UE assistance information for ML based channel environment classification, and/or an indication of the channel environment (which may be a pre-defined channel environment associated with a lookup table), may be transmitted by the user equipment to the base station.

Techniques are provided for tracking application programming interface (API) requests in a cloud computing environment. For example, a method for tracking API requests is implemented by an API gateway. The API gateway receives an API request which comprises a given API endpoint to access a target service of a computing system. The API gateway determines if the received API request is valid. In response to determining that the received API request is valid, the API gateway accesses at least one API counter associated with the given API endpoint of the received API request, wherein the at least one API counter is configured to count a number of times that the given API endpoint is accessed. The API gateway increments a count of the at least one API counter by one, and the API gateway routes the API request to the target service for execution.

A method for remote monitoring includes (1) generating first sensor data from a first sensor at a first network node of a communications network and (2) sending the first sensor data from the first sensor to a second network node that is remote from the first network node, via the communications network. The first network node is powered from an electrical power grid that is separate from the communications network. The first sensor data may be raw sensor data and/or lossless sensor data.

Techniques for testing a networked system using simulated abnormal node failure are disclosed. In some embodiments, a computer system performs operations comprising: repeatedly transmitting simulated requests to a networked system on which a software application is implemented using a plurality of nodes, the networked system being configured to respond to the simulated requests using the plurality of nodes; randomly selecting one or more nodes from the plurality of nodes; terminating the randomly selected one or more nodes; restarting the terminated randomly selected one or more nodes; repeating the randomly selecting one or more nodes, the terminating the randomly selected one or more nodes, and the restarting the terminated randomly selected one or more nodes until each one of the plurality of nodes has been terminated and restarted at least once during the first period of time; and determining response times of the networked system in responding to the simulated requests.

An example method includes recording, by a node out of a plurality of nodes, occurrence of one or more baseline node events, generating a statistical data corresponding to a recorded occurrence of the one or more baseline node events over a pre-determined period, comparing one or more subsequent node events with the statistical data, and communicating data corresponding to the one or more subsequent node events to the central control device, in response to determining that the one or more subsequent node events satisfy the event deviation threshold.

An example method includes recording, by a node out of a plurality of nodes, occurrence of one or more baseline node events, generating a statistical data corresponding to a recorded occurrence of the one or more baseline node events over a pre-determined period, comparing one or more subsequent node events with the statistical data, and communicating data corresponding to the one or more subsequent node events to the central control device, in response to determining that the one or more subsequent node events satisfy the event deviation threshold.

A system and method that includes executing communication processes in an application platform, which comprises on behalf of outside entities, negotiating communications between a set of internal resources and at least one external resource using at least a first communication protocol and a second protocol; capturing internal log information during execution of the application platform; receiving a request to access log information by an outside entity; synthesizing the internal log information of the first protocol and at least a second protocol into a unified communication report; and transmitting the unified communication report.

A system and method that includes executing communication processes in an application platform, which comprises on behalf of outside entities, negotiating communications between a set of internal resources and at least one external resource using at least a first communication protocol and a second protocol; capturing internal log information during execution of the application platform; receiving a request to access log information by an outside entity; synthesizing the internal log information of the first protocol and at least a second protocol into a unified communication report; and transmitting the unified communication report.