An example method of detecting device malfunctions at a subject device includes: obtaining a device event indicator representing an event detected at a device sensor of the subject device; obtaining an external event indicator representing an external event detected by an environmental sensor, the external event occurring external to the subject device; and identifying a device malfunction at the subject device based on the device event indicator and the external event indicator.

Embodiments are directed to monitoring network traffic in a network. A device relation model that may be comprised of two or more nodes and one or more edges stored in memory of the network computer may be provided to a network monitoring computer (NMC), such that each node represents an agent and each edge represents a relationship between two agents. If error signals are detected by the NMC, the NMC perform further actions to process the error signals. The device relation model may be traversed to identify agents associated with the error signals. The network traffic associated with the error signals and the agents may be analyzed by the NMC. If the error signals are associated with anomalies in the network traffic, users may be notified. The device relation model may be updated upon discovery of new computing devices, new applications, or new associations between agents.

Systems, methods, and computer-readable media for fault code aggregation across application-centric dimensions. In an example embodiment, a system obtains respective fault codes corresponding to one or more network devices in a network and maps the one or more network devices and/or the respective fault codes to respective logical policy entities defined in a logical policy model of the network, to yield fault code mappings. The system aggregates the one or more of the fault code mappings along respective logical policy dimensions in the network to yield an aggregation of fault codes across respective logical policy dimensions and, based on the aggregation, presents, for each of the respective logical policy dimensions, one or more hardware-level errors along the respective logical policy dimension.

A method and system for managing performance of over a multimedia content distribution network (MCDN), such as a digital subscriber line network, involves receiving an indication of an impairment in network performance from an MCDN client. The MCDN node associated with the client may be identified and a community of MCDN clients coupled to the MCDN node may be further identified. Impairment information, representative of MCDN equipment, may be collected for each of the MCDN clients. Detailed network diagnostics and field service may be performed for MCDN clients based on a characterization of the impairment parameters. After remediation of the MCDN node, collection of the impairment information may be terminated.

A machine learning device includes at least one processor; and at least one memory device configured to store a program, the program executed by the at least one processor to cause the at least one processor to obtain at least one first information from a communication relay device, the first information changing due to communication of the communication relay device; and to correlate the obtained at least first information with at least one characteristic of a replaceable candidate device to perform machine learning.

A network management apparatus according to an embodiment includes: a storage device configured to store information indicating a correspondence relationship between information objects related to a logical layer, information objects related to a physical layer in a network configuration, and information objects related to a facility layer which are objects in which the information objects related to the physical layer are housed; an acquisition unit configured to acquire an information object related to an occurrence path of a failure in the logical layer of the network configuration, from the storage device; and a search unit configured to search for, among the information objects related to the facility layer stored in the storage device, an information object related to the facility layer and the physical layer associated with the information object related to the occurrence path of the failure acquired from the acquisition unit, as a candidate for a facility that causes the failure.

Described embodiments provide systems and methods for detection of the degradation of a virtual desktop environment. A computing device may receive data from a plurality of client devices. The computing device may identify a subset of client devices from the plurality of client devices with at least one characteristic in common based on the received data. The computing device may determine a ratio of the identified subset of client devices, the ratio being a comparison of client devices of the subset with a value above a first threshold to a total number of client devices of the subset, and the value being indicative of a characteristic of performance for that client device. The computing device may identify a cause of an anomaly in the performance of the application based on the ratio exceeding a second threshold.

Example aspects include techniques for employing cross-service diagnostics for cloud service providers. These techniques may include dynamically generating a workflow of one or more diagnostic modules based on relationship information between an origin service experiencing an incident and one or more related services that the origin service depends on, and executing the workflow of one or more diagnostic modules to determine a root cause of the incident, each of the one or more diagnostic modules implemented by an individual service of the one or more related services in accordance with a schema. In addition, the techniques may include determining a diagnostic action based on the root cause, and transmitting, based on the diagnostic action, an engagement notification to a responsible entity.

Embodiments of a device and method are disclosed. In an embodiment, a method for network device troubleshooting involves at a cloud server, connecting to a neighboring network device of a faulty network device, where the neighboring network device and the faulty network device are located within a network deployed at a customer site, and where the neighboring network device communicates with the faulty network device according to a short-range wireless communications protocol, and at the cloud server, performing a network device troubleshooting operation on the faulty network device using the neighboring network device as a proxy.

Embodiments provide a fault detection method and device. The method includes obtaining first detection logic, where the first detection logic includes a plurality of detection events and indicates a logical relationship between the plurality of detection events, a single detection event includes identification information of a to-be-detected device, a detection instruction, and identification information of a fault event, and identification information of to-be-detected devices that is in the plurality of detection events is partially the same; in response to the obtained first detection logic, successively executing corresponding detection instructions on to-be-detected devices in single detection events based on the logical relationship between the plurality of detection events, and receiving an execution result returned by the to-be-detected device; and if it is detected that the execution result includes the identification information of the fault event, determining that the fault event exists. In this application, the fault detection device automatically queries statuses of a plurality of to-be-detected devices, and quickly determines the fault event, so that a fault that occurs in an application scenario can be accurately located.