A system is provided for automated cross-network monitoring of computing hardware and software status. In particular, the system may track the status of various computing resources using process automation-based operations to simulate calls made by users to the various resources that the users are authorized to access. Based on said operations, the system may assess whether the authorized pathways to the resources and/or their respective components are properly functioning by capturing information regarding the resource, its associated components, and the current status of the resource. The results of these operations may be aggregated to provide an overview of which resources and/or systems are functioning and which are not. In this way, the system may provide a detailed view of the statuses of the individual resources and components within an entity's complex computing network.

A method, device and medium for determining a coding format are provided. The method includes: receiving one or more data packets forwarded by a call center during a VoLTE communication, in which the one or more data packets carry a first coding format; detecting whether the first coding format is same with a negotiated second coding format; and modifying the coding format used during the VoLTE communication from the second coding format to the first coding format, if the first coding format is not same with the negotiated second coding format.

In general, techniques are described for network connectivity for non-colocated customers of a cloud exchange. A programmable network platform for the cloud exchange comprises processing circuitry configured to: configure a virtual network device in the data center to run a network service for a customer; receive, from the customer, a request for a remote port and network information for a network service provider connectivity service for the customer; assign, in response to receiving the request for the remote port, a remote port of the cloud exchange to the customer; and configure, in response to receiving the request for the remote port using the network information, the cloud exchange to connect the network service provider connectivity service to the virtual network device via the remote port of the cloud exchange.

In one embodiment, a supervisory service for a software-defined wide area network (SD-WAN) obtains telemetry data from one or more edge devices in the SD-WAN. The service trains, using the telemetry data as training data, a machine learning-based model to predict tunnel failures in the SD-WAN. The service receives feedback from the one or more edge devices regarding failure predictions made by the trained machine learning-based model. The service retrains the machine learning-based model, based on the received feedback.

A system includes at least one server that is configured to provide a multi-client network service to a plurality of existing users. When the server receives requests to join the multi-client network service from new users, the server may issue timestamps to each new user, obtain load metric based on the requests or timestamps, and collect the load metric to obtain historical data characterizing a demand in the multi-client network service over time. Further, based on the historical data, the server can predict a future load demand in the multi-client network service and selectively enable to join the multi-client network service by at least one of the plurality of new users based on the future load demand.

In an embodiment, an apparatus is provided that may include circuitry to generate, at least in part, and/or receive, at least in part, at least one request that at least one network node generate, at least in part, information. The information may be to permit selection, at least in part, of (1) at least one power consumption state of the at least one network node, and (2) at least one time period. The at least one time period may be to elapse, after receipt by at least one other network node of at least one packet, prior to requesting at least one change in the at least one power consumption state. The at least one packet may be to be transmitted to the at least one network node. Of course, many alternatives, modifications, and variations are possible without departing from this embodiment.

Described herein are systems, methods, and software to manage resources in a gateway shared by multiple tenants. In one example, a system may monitor usage of resources by a tenant of the gateway and compare the usage with usage limits associated with the resources. The system may further determine when the usage of a resource exceeds a usage limit associated with the resource and, when the usage of the resource exceeds the usage limit, identify an operation associated with causing the usage limit to be exceeded and blocking the operation.

This document describes modeling and simulation techniques to select a cloud architecture profile based on correlations between application workloads and resource utilization. In some aspects, a method includes obtaining infrastructure data specifying utilization of computing resources of an existing computing system. Application workload data specifying tasks performed by one or more applications running on the existing computing system is obtained. One or more models are generated based on the infrastructure data and the application workload data. The model(s) define an impact on utilization of each computing resource in response to changes in workloads of the application(s). A workload is simulated, using the model(s), on a candidate cloud architecture profile that specifies a set of computing resources. A simulated utilization of each computing resource of the candidate cloud architecture profile is determined based on the simulation. An updated cloud architecture profile is generated based on the simulated utilization.

The embodiments herein relate to a method performed by a gateway. The gateway detects that a procedure for activating or deactivating a bearer has been initiated. The gateway receives a first modify bearer or modify access bearers request message for the same PDN connection and UE as the bearer activation or deactivation procedure is intended for. The gateway detects a bearer mismatch between a first set of bearers and a second set of bearers known by the gateway and associated with said same PDN connection and UE. The gateway accepts, during a time interval, the received modify bearer or modify access bearers request message even though the bearer mismatch has been detected.

The embodiments herein relate to a method performed by a gateway. The gateway detects that a procedure for activating or deactivating a bearer has been initiated. The gateway receives a first modify bearer or modify access bearers request message for the same PDN connection and UE as the bearer activation or deactivation procedure is intended for. The gateway detects a bearer mismatch between a first set of bearers and a second set of bearers known by the gateway and associated with said same PDN connection and UE. The gateway accepts, during a time interval, the received modify bearer or modify access bearers request message even though the bearer mismatch has been detected.