Abstract: The present disclosure relates to using maintenance mode to upgrade a distributed system. One method includes determining that a first host of a cluster of a software-defined datacenter (SDDC) is to be upgraded as a part of a rolling upgrade of the hosts of the cluster, wherein the first host is executing a process instance of a cluster store, demoting the process instance to a proxy, creating a replica of the process instance using a different proxy on a second host of the cluster, instructing the first host to enter a maintenance mode, upgrading the first host, and instructing the first host to leave the maintenance mode.

Abstract: An apparatus including a display circuit, a requestor circuit, a request provisioning circuit, an Internet of Things Universal Identification (IoT UID) processing circuit, and an IoT UID provisioning circuit. The display circuit generates a graphical user interface (GUI) configured to receive one or more user input command values corresponding to device property data for one or more Brownfield devices. The requestor circuit generates a registration request that includes the device property data. The request provisioning circuit transmits the registration request to an Internet of Things (IoT) device registrar server. The Internet of IoT UID processing circuit interprets one or more IoT UIDs generated by the IoT device registrar server in response to the registration request. The IoT UID provisioning circuit at least one of: transmits the one or more IoT UIDs; or displays the one or more IoT UIDs on an electronic display.

Abstract: Embodiments of the present disclosure provide methods and apparatuses for network communication. A method comprises determining a link between an edge device of a second network and the first edge device of the first network is failed or the edge device of the second network is failed or an identifier of an Ethernet segment corresponding to the edge device of the second network has been changed; and advertising a first message including withdrawal of the Ethernet segment corresponding to the edge device of the second network and a corresponding substitution Ethernet segment of the second network, wherein the corresponding substitution Ethernet segment of the second network can be used by one or more other edge devices of the first network receiving the first message to switch routes associated with the Ethernet segment corresponding to the edge device of the second network to the corresponding substitution Ethernet segment of the second network.

Abstract: The present disclosure relates to: a communication technique for merging IoT technology with a 5G communication system for supporting a higher data rate than a beyond 4G system; and a system therefor. The present disclosure can be applied to intelligent services (for example, smart homes, smart buildings, smart cities, smart cars or connected cars, healthcare, digital education, small businesses, security- and safety-related services, and the like) on the basis of 5G communication technology and IoT-related technology. A controller node is disclosed.

Abstract: Techniques and technologies for an IP address management (IPAM) system to monitor the usage of IP addresses across regions in one or more networks of resources. The IPAM system may be used to allocate IP addresses to resources in networks and track what IP addresses are being used by resources or available for allocation. The IPAM system may periodically obtain usage information that indicates actual, current IP address usage by the resources in the networks, identify differences between the current IP address usage and an inventory maintained by the IPAM service, and reconcile the differences. Additionally, the IPAM system may further respond to network administrator queries about their resource and IP address usage. Further, the IPAM system may emit various utilization metrics to the network administrators which may be tied to alarms or alerts around non-compliant resources or IP addresses.

Abstract: In one embodiment, a service receives telemetry data collected from a plurality of different networks. The service combines the telemetry data into a synthetic input trace. The service inputs the synthetic input trace into a plurality of machine learning models to generate a plurality of predicted key performance indicators (KPIs), each of the models having been trained to assess telemetry data from an associated network in the plurality of different networks and predict a KPI for that network. The service compares the plurality of predicted KPIs to identify one of the plurality of different networks as exhibiting an abnormal behavior.

Abstract: A system and methods for mobile device active callback prioritization with predictive outcome scoring, utilizing an enhanced callback prioritization engine operating on a user's mobile device for integration through the operating system and software applications operating on the device, wherein the enhanced callback prioritization engine receives intercepted data or voice messages sent to the mobile device, retrieves and aggregates data related to the assigned messages, inputs the assigned data message and aggregate data into prioritization model wherein the prioritization model may analyze the input data, the results of the analysis may be used to compute a priority score for the assigned data message. An outcome model may be present and configured to produce outcome scores for a callback recipient based on the context of the data or voice message. System generates a callback list from the computed prioritization score and outcome score.

Abstract: A frame is received at an agent. The frame is analyzed to determine that the frame is associated with a first known pod. IP information is reported to a backend process. The backend process is configured to stitch the IP information with other IP information reported by one or more additional agents to identify a second pod.

Abstract: A method performed by a network node, for handling an outgoing media call of a user associated with multiple User Equipment, UEs, in a communications network is provided. The network node receives (402) a request for the outgoing media call to be set up from a first UE out of the multiple UEs. The request is obtained as a voice instruction 5 from the user via a Digital Assistant, DA, device. The voice instruction comprises a personalized name associated with the first UE. The network node further identifies (403) among the multiple UEs, the first UE and its associated IP Multimedia Subsystem, IMS, identifier based on the personalized name received in the voice instruction. The network node further sends (404), to an IMS node, the identified IMS identifier of the first UE and a 10 request to whether or not the first UE is registered in the IMS node and supports media of the outgoing media call.

Abstract: Non-volatile memory may contain definitions of: (i) a plurality of message queue implementations respectively associated with different queue behaviors, the different queue behaviors specified by corresponding sets of modes, and (ii) an application programming interface (API) through which applications can access one or more message queues. One or more processors may be configured to: create a message queue of a particular message queue type, supported by a corresponding message queue implementation, by specifying a set of modes corresponding to a queue behavior; receive, from a producing application and by way of the API, one or more messages for the message queue; store the one or more messages in a data structure associated with the message queue; receive, from a consuming application and by way of the API, a request to read from the message queue; and provide a message from the message queue to the consuming application.

Abstract: A system and method to distribute traffic flows among a plurality of applications in a data center system. An apparatus is operable with a plurality of applications connected through a programmable switch and is configured to select traffic flows to ones of the plurality of applications. The apparatus is also configured to monitor and collect statistics for the traffic flows to determine rule level statistics, and move at least one traffic flow of the traffic flows from a network interface to a different network interface based on the rule level statistics.

Abstract: A method for detecting an IPv6 aliased prefix based on fragmented fingerprint includes: generating a plurality of pseudo random addresses in a target prefix space; determining the target prefix as an active prefix; and determining that the plurality of the pseudo random addresses and the active prefix are configured on the same host, so as to identify the active prefix as the aliased prefix. This method may effectively discover a network host, reduce the cost of network detection, and provide more effective data support for network measurement, network surveying and mapping and security research.

Abstract: Method and network device for providing redundancy in an industrial network includes a first port group connected to a first network segment of the industrial network, and includes a switch module that has a plurality of southbound ports, wherein at least one southbound port is connected to a corresponding end device, where each port group has a pair of redundant northbound ports connected to a link redundancy entity having two or more interlinked ports connectable to one or more south-bound ports of switch module based on network topology for enabling redundant links between end devices connected to the southbound ports and the first network segment.

Abstract: A computing device (e.g., a policy management server) obtains a segmentation policy that includes a set of rules for controlling network traffic between workloads. The computing device also receives infrastructure feedback regarding configuration of third-party network infrastructure. The computing device uses the infrastructure feedback to identify a discrepancy between the segmentation policy and the configuration of the third-party network infrastructure and triggers a corrective action in response. The corrective action may include providing a notification or suggestive remedy for the discrepancy to the user or automatically remedying the discrepancy.

Abstract: Provided are a method and apparatus for providing a big data analysis service, and a computer readable storage medium. The method for providing a big data analysis service includes: generating, by network data analytics, big data information according to network operation and maintenance data, and sending the big data information to an application through a network exposure function.

Abstract: A centralized communication system is disclosed that provides a modular, extendible, and scalable communication system that can exchange information between any information systems or networked devices. Adapter interfaces are provided to modify message communications between medical systems in a hospital network, and a graphic interface is provided for modification of communication topology information pertaining to the adapter interfaces in the centralized communication system. The graphical interface provides one or more controls configured to modify at least a portion of the communication topology information, and displays an indication of the modification.

Abstract: Examples described herein relate to systems and methods for containing a faulty stimulus. A computer-implemented method may include listing in a suspect list every received stimulus including the faulty stimulus, and implicitly testing the stimuli by respectively acting upon those stimuli by a software application. Responsive to successfully acting upon each of the stimuli besides the faulty stimulus, each non-faulty stimulus is deleted from the suspect list and, responsive to such deletion, made available to a downstream node. Responsive to acting upon the faulty stimulus, the software application crashes which leaves the faulty stimulus listed in the suspect list. The software application then restarts and deems the faulty stimulus as being faulty based upon the faulty stimulus still being listed in the suspect list after the restart.

Abstract: A service quality control device includes: an APL profile 20 that records the profile of an application; an APL determination unit 10 that acquires network performance including throughput and network information including quality of user's experience from a network device constituting the network 1 and determines the application to be used by a user by comparing the acquired network information with the APL profile 20; a causal model generation unit 30 that acquires network setting information including a bandwidth throttling value from the network device, generates a causal model that associates network setting information with network performance for each application, and generates a causal model that associates network performance with quality of user's experience for each application; and an optimization unit 50 that finds a network setting that maximizes the network performance and the quality of user's experience of a plurality of applications on the basis of the causal model.

Abstract: A system receives, from one or more subsystems, one or more predicted outcomes associated with a device. The system provides provide at least a subset of the predicted outcomes as input to a machine learning model trained to identify a set of resolution actions. The system receives, from the machine learning model, the set of resolution actions for the subset of the predicted outcomes, wherein each resolution action in the set of resolution actions is associated with a probability of resolving at least one of the predicted outcomes in the subset of predicted outcomes. The system identifies a first resolution action from the set of resolution actions, wherein the first resolution action has a highest probability of resolving the at least one of the predicted outcomes in the subset of predicted outcomes. The system provides a first instruction to execute the first resolution action.

Abstract: A computer network device (such as a switch or a router) that implement host tracking is described. During operation, the computer network device may receive a report message that is associated with a host, which indicates that the host wants to join a group in a network that receives an audio-video channel from a source. In response, the computer network device may add information associated with the host to a group data structure associated with one or more hosts in the group. Then, when the computer network device receives a leave message that is associated with the host, the computer network device may remove or deactivates the host from the group data structure. Moreover, when the group data structure is empty or has no active hosts, the computer network device may stop forwarding the audio-video channel from the source to the group without further delay.