Abstract: The network management system (NMS) assesses behavior data such as Ethernet error, speed flapping, cold restart, and/or cloud disconnect collected from a respective one of access points (APs) or other wired client-side devices at an edge of a wired network, and determines whether features of the behavior data are indicative of a bad cable issue at a particular port of a particular network device of the wired network to which the respective AP is connected via a cable. The particular network device may be a third-party network device from which the NMS does not receive behavior data. In the case of a bad cable issue being detected, the NMS outputs a bad cable notification including identification information of the particular port and the particular network device. The NMS enables client-side only, behavior-based bad cable detection at network devices that avoids network traffic disruptions caused by conventional cable tests.

Abstract: A system for noise profile generation includes a customer gateway communicatively coupled to one or more end devices over a communication medium, at least one noise information node communicatively coupled to the customer gateway and programmed to extract noise information present on a communication path from the customer gateway to at least one of the one or more end devices, a noise profile database storing one or more noise profiles, and a noise profile generator. The noise profile generator includes at least one processor and non-transitory computer readable media having a set of instructions executable by the at least one processor to retrieve the extracted noise information associated with the communication path, determine whether the at least one noise characteristic of the extracted noise information matches with one or more noise profiles and identify at least one noise source on the communication path.

Abstract: Methods and systems for managing distributed systems are disclosed. The distributed systems may include any number of data processing systems that may contribute to the functionality of the distributed system. To contribute to the functionality of the distributed system, each of the data processing systems may need to be configured to positively contribute to one or more functions. To manage configuration of data processing system, intermediate representations of roles may be used to flexibly manage system configuration. The roles may be taken on by independent and dependent data processing systems.

Abstract: Provided are systems for detecting an anomaly in network activity using Domain Name System (DNS) query data that include a processor to receive data associated with a plurality of DNS queries from a plurality of data sources, parse the data associated with the plurality of DNS queries to provide DNS query data and network domain data, route the DNS query data to a first queue using a queries exchange, route the network domain data to a second queue using a domains exchange, poll the first queue and the second queue with a microservice application to receive the DNS query data and the network domain data with the microservice application for processing, and detect a characteristic of the one or more DNS queries of the plurality of DNS queries based on the DNS query data and the network domain data. Methods and computer program products are also disclosed.

Abstract: Techniques for coordinating the monitoring of output devices. In one technique, one or more messages are received, at a mediation service, over a computer network from a cloud-based management server. The one or more messages include an identity of an output device, an identity of an active mediation service for the output device, and an identity of each failover mediation service in one or more failover mediation services for the output device. Based on the one of the messages, the mediation service determines that it is a failover mediation service. Later, it is determined whether the mediation service is to be a new active mediation service for the output device. In response to an affirmative determination, the mediation service transmits, to the cloud-based management server, a notification that indicates that the mediation service is the new active mediation service. The mediation service also initiates monitoring of the output device.

Abstract: The embodiments of the present invention relate to the field of communication. Disclosed are a method for evaluating network quality, an electronic device, and a storage medium. The method for evaluating network quality of the present invention includes: generating a target network topology according to node information in a current network, the target network topology being a network topology structure in which a master node is directly connected to each sub node; determining a network transmission cost of the target network topology as a first network transmission cost and a network transmission cost of the actual network topology as a second network transmission cost according to the node information in the current network, the target network topology and an actual network topology of the current network; and determining a quality evaluation result of the current network according to the first network transmission cost and the second network transmission cost.

Abstract: In accordance with an embodiment, a system and method for dynamic auto-scaling based on roles is provided. Within a system, a node, based upon a load demand, can be duplicated. Additionally, when duplicating a node, the role of the node can be used to determine various characteristics of the duplicated node, taking into account various factors.

Abstract: A device may receive a request for an application from a user device, network data for a network provider and a cloud provider associated with the user device, and SLA constraints. The device may calculate a plurality of cost vectors associated with defining a path for the user device to access the application, and may identify a network provider device that provides a first least cost path and satisfies a first threshold. The device may identify, from a plurality of cloud provider devices, a set of cloud provider devices that support the application for the network provider device, and may identify a cloud provider device that provides a second least cost path and satisfies a second threshold. The device may cause the application to be provided from the cloud provider device to the user device, via the network provider device.

Abstract: Methods, apparatus, and systems are provided for operating a distributed ledger network (100), the distributed ledger network (100) comprising a plurality of nodes (102a-102n, 104a-04m), the plurality of nodes comprising a group of nodes (104), wherein each node in the group of nodes (104) includes functionality for acting as a trusted third party node on a distributed ledger transaction, the method comprising: performing an operating performance test on one or more selected nodes (104a-104m) of the group of nodes (104), wherein the operating performance test comprises sending a plurality of test messages to each selected node (104a-104m) over a predetermined time period; receiving operating performance data associated with each selected node (104a-104m) in relation to the operating performance test; aggregating operating performance statistics for each selected node (104a-104m) based on the received operating performance responses; and indicating to the distributed ledger network (100) those selected nodes (

Abstract: The systems and methods monitor thermal states associated with a device. The systems and methods set thermal thresholds associated with the device. The systems and methods infer the thermal thresholds from information gathered by a client application running on the device. The systems and methods implement a stored policy associated with a violation of one of the thermal thresholds by one of the monitored thermal states.

Abstract: A broadcast signal transmission method comprises outputting an RoHC channel that includes one or more RoHC streams and a signaling table that includes information related to header compression by performing header compression for Internet Protocol (IP) packets, which include broadcast data, in accordance with an adaptation mode, a header of each IP packet including an IP header and a User Datagram Protocol (UDP) header, generating at least one first link layer packet that includes the RoHC channel and generating at least one second link layer packet that includes the signaling table, and physical layer processing the at least one first link layer packet and the at least one second link layer packet and transmitting through one or more Physical Layer Pipes (PLPs), wherein the signaling table includes adaptation mode information indicating the adaptation mode, and each RoHC stream in the RoHC channel includes RoHC packets.

Abstract: A troubleshooting method, a device, and a readable storage medium are provided, to detect a unidirectional fault in a ring Ethernet and provide a fault recovery mechanism after the unidirectional fault occurs. In embodiments of this application, if determining that a link corresponding to a receiving unit of a first port is in a fault status, the first device performs loopback on the first port, and sends a first continuity check message to a second device via the first port. The first continuity check message carries first indication information. The first indication information indicates that a link corresponding to a receiving unit of a port that sends the first indication information is in a fault status.

Abstract: A tool for network-based package monitoring and recovery. The tool scans a database to identify a gap in network traffic data. The tool determines whether at least one gap in the network traffic data is identified in the database, wherein the at least one gap is a gap in communication between a target device and a communication serve. Responsive to a determination that at least one gap in the network traffic data is identified, the tool determines a missing package from a package archive. The tool determines whether there is active network traffic between the target device and the communication server. Responsive to a determination that there is active network traffic between the target device and the communication server, the tool replays the missing package in the active network traffic between the target device and the communication server.

Abstract: Methods and systems for a networked storage environment are provided. One method includes splitting, by a first node, a payload into a plurality of data packets, each data packet having a portion of the payload indicated by an offset value indicating a position of each portion within the payload; transmitting, by the first node, the plurality of data packets to a second node using a network connection for a transaction, each data packet including a header generated by the first node having the offset value and a payload size; receiving, by the first node, a message from the second node indicating an offset value of a missing payload of a missing data packet from among the plurality of data packets; and resending, by the first node, the missing data packet and any other data packet whose offset value occurs after the offset value of the missing payload.

Abstract: Methods and systems for managing customer encountered issue resolution are disclosed. To manage the customer encountered issue resolution, tickets for the customer encountered issues may be managed to reduce suffering and reduce the rate of ticket churn. To do so, customer pain levels may be identified and used to prioritize resource deployment for ticket resolution. The tickets may be classified into groups for resolution via automated or human-assisted processes, which may be limited in capacity. To ascertain the pain levels of the customers, communications from the customers may be emotionally analyzed to identify emotions present in the customers. The identified emotions may be used to identify whether performed remediation processes for resolving the customer encountered issues were successful, and to what extent they were successful.

Abstract: The disclosure herein describes predicting potential impact of issues reported in incident ticket data on infrastructure element. A ticket manager component includes an impact model utilizing machine learning to analyze real-time event and metric data with incident-related data to generate predicted impact data. The predicted impact data identifies potentially impacted infrastructure elements, such as, potentially impacted users, predicted infrastructure components impacted by the issue and/or an updated time-period associated with the issue. The ticket manager component creates labeled incident tickets by updating user-generated incident tickets with additional data generated by the impact model, including predicted impact data and/or additional details associated with the issue. The labeled incident tickets are provided back to the model as training data to further refine predictions generated by the model.

Abstract: In one example, a location of a potential bottleneck of network traffic in a network is identified. Based on the location of the potential bottleneck, a first QoE inference model is selected from a plurality of respective QoE inference models. The respective QoE inference models are each trained to infer a respective QoE of the network traffic based on one or more respective network traffic metrics generated by monitoring the network traffic at a respective location in the network. One or more first network traffic metrics of the one or more respective network traffic metrics are generated by monitoring the network traffic at a first respective location. The one or more first network traffic metrics are provided to the first QoE inference model to infer a first respective QoE.

Abstract: A method of automatic troubleshooting, includes determining that a first parameter was degraded; identifying at least one first process corresponding to the first parameter; determining whether the at least one first process was operating while the first parameter was degraded; based on determining that the at least one first process was operating while the first parameter was degraded, identifying a problem scenario corresponding to the first parameter and the at least one first process; identifying a plurality of second parameters associated with the problem scenario; determining whether the plurality of second parameters were degraded; based on determining that the plurality of second parameters were degraded, determining that the problem scenario occurred; and based on determining that the problem scenario occurred, displaying information indicating the problem scenario.

Abstract: A system for noise profile generation includes a customer gateway communicatively coupled to one or more end devices over a communication medium, at least one noise information node communicatively coupled to the customer gateway and programmed to extract noise information present on a communication path from the customer gateway to at least one of the one or more end devices, a noise profile database storing one or more noise profiles, and a noise profile generator. The noise profile generator includes at least one processor and non-transitory computer readable media having a set of instructions executable by the at least one processor to retrieve the extracted noise information associated with the communication path, determine whether the at least one noise characteristic of the extracted noise information matches with one or more noise profiles and identify at least one noise source on the communication path.

Abstract: A method of an abnormality detection, the method including: calculating an occurrence degree of a packet loss in each of multiple queues on the basis of a first time period in which each of multiple processes that receives a packet is in a waiting state and an arrival frequency of a packet in each of the multiple queues that stores the packets received by the multiple processes; distributing the number of packet losses occurred in a communication device that includes the multiple queues to each of the multiple queues on the basis of the calculated occurrence degree; and determining whether or not an abnormality occurs in each of the multiple processes on the basis of a correspondence relationship between an operation state of each process and the number of packet losses distributed to the queue that corresponds to each process among the multiple queues for each of the multiple processes.