Systems and methods for handling soft zoning violations comprise assigning a first target device and an endpoint device that is coupled to a switch port of a Fibre Channel (FC) switch to a zone(s). In embodiments, in response to the endpoint device logging into the FC switch, sampled traffic that originates at the endpoint device and ingresses at the switch port may be obtained. In response to determining that the sampled traffic comprises a second traffic that is intended for a second target device that has not been assigned to the zone(s), some action to restrict the second traffic may be performed such as to restrict the non-assigned traffic and prevent devices from sending potentially harmful traffic to other devices that are not assigned to a same zone.

A novel machine learning-based network analytics, troubleshoot, and self-healing holistic telemetry system is configured to perform modem-embedded machine analysis of multi-protocol stacks (e.g. OSI model stacks) simultaneously from one integrated coherent diagnostic system alone, and identify sources of data network problems autonomously within an entire end-to-end network topology of a network operator, while not necessitating human diagnosis of the data network problems. This system uniquely embeds a smart universal telemetry (SUT) as a quality-of-experience (QoE) parameter collection agent in intermediary transport-level network equipment and each end-user modem, which in turn enables periodic or on-demand collection of robust diagnostic data from all end-user modems and intermediary transport level nodes in a data network. By executing a machine learning (ML)-based artificial intelligence (AI) analytical module in a cloud-computing resource, the system then achieves autonomous identification and source pinpointing of network problems, and in some cases, self-repairs machine-identified data network problems autonomously.

A method of identifying exemplary spans associated with a real user session comprises aggregating ingested spans associated with user interaction with an application during the user session. The method also comprises segmenting the user session into chunks and storing each chunk with an identifier indicating a location of a respective chunk. Further, responsive to user-specified parameters included in a query, the method comprises accessing a chunk using a respective identifier and applying the user-specified parameters to spans in the chunk. Additionally, the method comprises rendering a waterfall visualization comprising exemplary spans associated with the user session, wherein the exemplary spans surface in response to the applying the user-specified parameters to the plurality of spans in the chunk.

A network information collection device is provided, which connects, for example, artificial intelligence with each of a plurality of systems in one-to-one relationships. It includes an information collection and accumulation unit 10 which collects and accumulates information from each of management systems 71 to 75 for managing a plurality of devices constituting a network, a related information generation unit 20 which generates related information by associating connection relationships of the plurality of devices managed by the management systems 71 to 75 with the information, and a delivery unit 30 which delivers the related information to the outside with a specified granularity, the related information generation unit 20 includes a log aggregation unit 21 which records changes in a state of each of the plurality of devices, an inter-layer association unit 22 which associates the inter-layer connection relationships of the devices with the information, and a chronological arrangement unit 23 which chronologically arranges the changes in the states recorded in the log aggregation unit 21 and the information.

A network information collection device is provided, which connects, for example, artificial intelligence with each of a plurality of systems in one-to-one relationships. It includes an information collection and accumulation unit 10 which collects and accumulates information from each of management systems 71 to 75 for managing a plurality of devices constituting a network, a related information generation unit 20 which generates related information by associating connection relationships of the plurality of devices managed by the management systems 71 to 75 with the information, and a delivery unit 30 which delivers the related information to the outside with a specified granularity, the related information generation unit 20 includes a log aggregation unit 21 which records changes in a state of each of the plurality of devices, an inter-layer association unit 22 which associates the inter-layer connection relationships of the devices with the information, and a chronological arrangement unit 23 which chronologically arranges the changes in the states recorded in the log aggregation unit 21 and the information.

For example, within a communication network environment a possibility for retrieval of historical data indicative of events occurring within the communication network environment and obtained from one or more data sources within the communication network environment is provided. Selection criteria is specified at a first device to be applied to the historical data for a query to be performed on the historical data kept in a historical data repository associated with a second device. At least one processing instruction is specified at the first device. The processing instruction determines the generation of a report based on the defined query. The selection criteria and the processing instruction is transmitted to the second device, and the report generated at the second device based on the transmitted selection criteria and processing instruction is received.

Disclosed are various techniques for wireless communication. In an aspect, a user equipment (UE) identifies a set of positioning sources, each positioning source comprising a positioning reference signal (PRS) resource, a PRS resource set, a PRS frequency layer, and/or a transmission/reception point (TRP). From the set of positioning sources, the UE identifies a consistency group comprising a collection of positioning sources grouped based on expected values of at least one metric of a reference signal from each positioning source, measured values of the at least one metric for the reference signal from each positioning source, and an error threshold. The UE identifies one or more subsets of positioning sources within the consistency group, each subset having at least one metric error value. The UE reports, to a network entity, information about the consistency group and information about at least one of the subsets of positioning sources within the consistency group.

In an approach to improve data migration in application performance monitoring, embodiments execute a synthetic transaction to monitor an application, and monitor network traffic during the execution of the synthetic transaction. Further, embodiments extract a plurality of parameters indicative of the synthetic transaction from the network traffic, and generate a script, based on the extracted plurality of parameters and a predetermined template, that generates the synthetic transaction.

In an approach to improve data migration in application performance monitoring, embodiments execute a synthetic transaction to monitor an application, and monitor network traffic during the execution of the synthetic transaction. Further, embodiments extract a plurality of parameters indicative of the synthetic transaction from the network traffic, and generate a script, based on the extracted plurality of parameters and a predetermined template, that generates the synthetic transaction.

A switch may operate in a cut-through mode and a store-and-forward mode. While in a default cut-through mode, the switch continuously monitors ports for certain health metrics. If those health metrics fall below a threshold, the switch changes to operate in a store-and-forward mode, either for a predetermined period of time or until the health metrics rise above a threshold, at which point the switch can resume cut-through mode operations. If health metrics fall below an even lower threshold, or remain below threshold for a predefined period of time, the switch can automatically alert a remote system or software process.