The present disclosure relates to a method, apparatus and system for determining reliability information for a network component (240) of a telecommunications network. The disclosed method comprises: obtaining (310) a plurality of samples of an operating parameter of the network component (240) acquired over a period of time; determining (320) a value of an acceleration factor based on the plurality of samples, the acceleration factor corresponding to an effect of the operating parameter over time on the network component (240); and determining (330) the reliability information based on the determined value of the acceleration factor.

The present disclosure relates to a method, apparatus and system for determining reliability information for a network component (240) of a telecommunications network. The disclosed method comprises: obtaining (310) a plurality of samples of an operating parameter of the network component (240) acquired over a period of time; determining (320) a value of an acceleration factor based on the plurality of samples, the acceleration factor corresponding to an effect of the operating parameter over time on the network component (240); and determining (330) the reliability information based on the determined value of the acceleration factor.

A method, computer readable medium, and computer network are provided for performing a synchronization operation. The method may comprise retrieving a list of network addresses of all standby servers in a standby server pool. The method may further include, using the list of network addresses, sending a health check query to each standby server in the standby server pool, and receiving response messages from the standby servers in the standby server pool. A positive response may indicate that the standby server is active in the standby server pool, and a negative response may indicate that the standby server is inactive in the standby server pool. The method may include, when any standby server returns the positive response, sending a message to an administrator. The method may further include, when every standby server returns the negative response, initiating a synchronization operation on a standby database connected to the standby servers.

A provider edge (PE) device may receive traffic associated with one or more services, wherein the traffic includes a plurality of packets, and may determine, based on the plurality of packets, one or more packets respectively associated with each service of the one or more services. The PE device may determine, based on the one or more packets respectively associated with each service of the one or more services, a respective status of each of the one or more services. The PE device may generate type-length-value (TLV) data that indicates the respective status of each of the one or more services and may cause the TLV data to be added to a link layer discovery protocol (LLDP) packet. The PE device may send the LLDP packet that includes the added TLV data to a customer edge (CE) device.

A computer-implemented method, system and computer program product for accurately identifying an execution time of a performance test. Network latency data is grouped into clustered groups of network latency data. Furthermore, the performance test execution times for the same group of performance tests run in the local and remote cluster environments are obtained. The test execution times impacted by network latency (compensation times) are then determined based on such obtained performance test execution times in the local and remote cluster environments. Such compensation times are then grouped into clustered groups of compensation times. A regression model is built to predict a performance test execution time impacted by network latency (compensation time) using the clustered groups of network latency data and compensation times. The execution time of a performance test run in the remote cluster environment is then generated that takes into consideration the compensation time predicted by the regression model.

A computer-implemented method, system and computer program product for accurately identifying an execution time of a performance test. Network latency data is grouped into clustered groups of network latency data. Furthermore, the performance test execution times for the same group of performance tests run in the local and remote cluster environments are obtained. The test execution times impacted by network latency (compensation times) are then determined based on such obtained performance test execution times in the local and remote cluster environments. Such compensation times are then grouped into clustered groups of compensation times. A regression model is built to predict a performance test execution time impacted by network latency (compensation time) using the clustered groups of network latency data and compensation times. The execution time of a performance test run in the remote cluster environment is then generated that takes into consideration the compensation time predicted by the regression model.

In one embodiment, a device maintains a buffer of historical telemetry data of a particular type of telemetry. The device obtains new telemetry data of the particular type of telemetry. The device makes a state evaluation by comparing the new telemetry data to the buffer, to determine whether the new telemetry data is an outlier. The device sends a message indicative of the new telemetry data to a message bus for delivery to a recipient that is not subscribed to receive telemetry data of the particular type of telemetry, when the device determines that the new telemetry data is an outlier.

A recovery workflow is part of an automated management service for bare metal hosts allocated for single-tenant operation in a multi-tenant environment. The health of the hosts is monitored using a set of health criteria. If it is detected that one of the host machines fails a health check then a host recovery workflow can be initiated. As part of the workflow, the failed host can be repurposed or retired. A spare host class can be used to obtain a new host to take over for the failed host. Once deployed, the operation of the new host can be tested. Upon passing the test, the new host can take over for the failed host. A new host resource can be automatically requested to be added to the spare host class in order to ensure that there are sufficient resources available in case of an additional failure.

A wireless communication network manages a wireless access node. The wireless access node wirelessly exchanges user data with wireless User Equipment (UEs) and exchanges the user data with one or more network elements. The wireless access node generates status indicators that characterize wireless access node operation during the user data exchanges. An Element Management System (EMS) determines EMS load based on EMS operation and transfers load data that indicates the EMS load for delivery to the wireless access node. The wireless access node receives the load data transferred by the EMS. The wireless access node identifies individual priorities for individual ones of the status indicators. The wireless access node determines individual reporting times for the individual ones of the status indicators based on the load data and the individual priorities. The wireless access node transfers the individual ones of the status indicators to the EMS per the individual reporting times.

Techniques are disclosed for generating a virtual representation (e.g., one or more digital twin models) of a multi-access edge computing system environment, and managing the multi-access edge computing system environment via the virtual representation. By way of example only, such techniques enable understanding, prediction and/or optimization of performance of applications and/or systems operating in the multi-access edge computing environment.