Abstract: A method implemented by an incident reporting tool, comprising receiving, from an incident report database, an incident report associated with an incident; presenting, on a network operations center (NOC) dashboard, a status checklist allowing a NOC personnel to view status of one or more tasks associated with the incident report before the incident report autocloses, wherein the one or more tasks comprises one or more completed tasks and one or more uncompleted tasks based on the status; enabling the NOC personnel to take actions on the one or more uncompleted tasks to resolve the incident report; and dynamically updating the status checklist to view an updated status of the one or more tasks based on the actions taken by the NOC personnel.

Abstract: In one embodiment, an illustrative method herein may comprise: determining, by a network controller, physical network topology of a data center network; collecting, by the network controller, virtual machine related network topology of the data center network from a virtual machine manager for the data center network; collecting, by the network controller, virtual ethernet flow mapping information of the data center network from a blade system management software for the data center network; collecting, by the network controller, container workload information of the data center network from a container orchestrator for the data center network; and generating, by the network controller, an integrated correlated visualization mapping of containers and associated network attachment points in the data center network based on the physical network topology, the virtual machine related network topology, the virtual ethernet flow mapping information, and the container workload information.

Abstract: An embodiment establishes a knowledge base based at least in part on sensor data received from a network. The embodiment generates a predicted performance parameter for a designated entity of the network using a first machine learning algorithm. The embodiment compares the predicted performance parameter to an actual performance parameter and determines whether the actual performance parameter exceeds a threshold difference from the predicted performance parameter. The embodiment generates, responsive to determining that the threshold difference is exceeded, incentive data using a second machine learning algorithm, where the incentive data is representative of an action selected by the second machine learning algorithm using an iterative optimization process, and where the iterative optimization process comprises performing the action and determining that the actual performance parameter approaches the threshold value in response to the action.

Abstract: Methods, systems, and computer readable media for testing a system under test (SUT). An example system includes a distributed processing node emulator configured for emulating a multi-processing node distributed computing system using a processing node communications model and generating intra-processing node communications and inter-processing node communications in the multi-processing node distributed computing system. At least a portion of the inter-processing node communications comprises one or more messages communicated with the SUT by way of a switching fabric. The system includes a test execution manager configured for managing the distributed processing node emulator to execute a pre-defined test case, monitoring the SUT, and outputting a test report based on monitoring the SUT during execution of the pre-defined test case.

Abstract: Apparatus and associated methods relate to dynamically configuring a User Interface (UI) dashboard corresponding to an Internet of Things (IoT) device. The UI dashboard is dynamically configured so as to render data that is appropriate to its specific use or application in the UI dashboard. A processor dynamically configuring the UI dashboard receives a device-data definition of data that the IoT device can provide. The processor captures a specific one of a plurality of selectable use cases of the IoT device. The processor configures the UI dashboard based, at least in part, on the specific one of the plurality of selectable use cases captured. The processor receives a data stream provided by the IoT device via the internet, the data stream conforming to the device-data definition. The processor renders the data stream received in the UI dashboard configured. The processor then sends the UI dashboard with the data stream rendered therein to a display device for display.

Abstract: A method of provisioning a network may include, with a network controller, identifying a first network intent of a computing network based at least in part on an execution of a user interface (UI) or API layer at a client device, and identifying a modification of at least one object within the first network intent within the UI or API layer at the client device as the first network intent is being modified. The modification defines a delta between the first network intent and a second network intent. The method may further include, with a provisioning service executed by the network controller, receiving the delta as a payload from the client device, and provisioning at least one computing device within the computing network based at least in part on the delta. The method further includes automatically modifying the at least one object based on the received delta, including a further modification of the second network intent.

Abstract: A method for creating a data transmission entry and a related device are provided, which are used in the communication field. The method includes: a source node receives a first packet sent by a destination node, wherein content of the first packet includes a destination address of a data packet; and the source node creates, depending on whether the destination address of the data packet is an address of a service supported by the source node, an entry associated with the first packet.

Abstract: A system, method, and computer-readable medium are disclosed for performing a data center connectivity management operation. The connectivity management operation includes: providing a plurality of data center assets with a respective plurality of data center asset client modules; establishing a connection between the respective plurality of data center asset client modules and a connectivity management system, the connectivity management system comprising a connectivity management system aggregator; discovering interrelationships of the plurality of data center assets; and, generating a topological map of the plurality of data center assets based upon the interrelationships of the plurality of data center assets.

Abstract: Techniques for network usage analysis and forecasting are disclosed. In one embodiment, a computerized method is disclosed comprising obtaining network access data identifying network access of a plurality of users, obtaining user data for the plurality of users, analyzing the obtained network access data, the analyzing comprising determining a network usage pattern for each user, determining a plurality of feature sets corresponding to the plurality of users, a feature set determined for a respective user comprising network usage features and user features determined using the user data obtained for the respective user, determining a number of clusters formed using the plurality of feature sets, each cluster grouping a number of users, of the plurality of users, having similar feature sets, and communicating information about at least one cluster in response to a network analysis request.

Abstract: A method, computer system, and computer program product are provided for peer risk benchmarking. Customer data for a first network is obtained, wherein the customer data comprises a role of one or more network devices in the first network and a plurality of risk reports corresponding to the one or more network devices, and wherein each risk report is associated with a particular dimension of a plurality of dimensions of risk for the one or more network devices. A network profile image is generated by processing the plurality of risk reports. A generative adversarial network generates a synthetic network profile image from the network profile image, wherein the synthetic network profile image does not include the customer data. A second network is evaluated using the synthetic network profile image to identify differences between the first network and the second network.

Abstract: A method is provided that includes receiving, from a first cluster, data intended for a second cluster and routing the data to the second cluster, thereby forming an indirect connection between a first cluster and the second cluster. A network usage of the indirect connection may be monitored and in response to determining that the network usage of the indirect connection exceeds a network usage threshold, a respective remote agent of each of the first and second clusters may be instructed to form a direct connection between the first and second clusters. The network usage of the direct connection may be monitored and in response to determining that the network usage of the direct connection is below the network usage threshold, the respective remote agent of each of the first and second clusters may be instructed to remove the direct connection.

Abstract: A central cloud computing account may aggregate events (e.g., configuration change events, policy change events, computing resource-based events, AWS resource policy modification events, etc.) from a plurality of non-centralized (e.g., distributed across various geographic regions, etc.) cloud computing accounts. The central cloud computing account may implement standardized and/or common formatting for configuration information (e.g., computing resource policy information, AWS resource policy information, etc.) indicated by each of the aggregated events. The standardized and/or common formatting may facilitate versioning to indicate changes to the configuration information for each of the non-centralized cloud computing accounts.

Abstract: Method of generating customized graphics having reactions to electronic message content starts with application server causing a communication interface for a communication session to be displayed at a first client device and at a second client device, respectively. The communication session is between a plurality of client devices. The communication interface includes a chat presence bar that includes a plurality of presence indicators associated with the client devices, respectively. Application server receives content for an electronic message from first client device or second client device and generates a customized graphic based on the content for the electronic message and a user identifier for first client device. Application server causes the customized graphic to be displayed on the chat presence bar of the communication interface displayed on the second client device. The customized graphic included in a first presence indicator associated with the first client device.

Abstract: A central networking system supports efficient identification and analysis of problems that occur at associated nodes on the network. Using network monitoring rules, the central networking system samples data from a subset of nodes in response to an indication that an error or problem has occurred on the network. If the collected sample data is determined to satisfy certain network conditions, the central networking system proceeds to perform network operations on nodes of the entire network, as appropriate. Thus, the system does not need to collect data from every node in a large network to address potential network threats. The central networking system also defines rules for detecting when a node experiencing a problem violates safety conditions such that it is impossible or inadvisable to pull analytical data from the node. The system performs appropriate remedial actions to address the node problems prior to requesting data for analysis.

Abstract: A user equipment (UE) is configured to operate as an edge enabler client (EEC) and is configured to determine one or more application context relocation (ACR) methods supported by an application client (AC) of the UE and transmit, to an edge data network (EDN), a message comprising a first indication that the AC requires service continuity support, a second indication of one or more ACR methods supported by the AC and a third indication of one or more ACR methods supported by the EEC.

Abstract: A system described herein may provide a technique for the proactive failover of groups of Virtualized Network Functions (“VNFs”) based on monitoring Key Performance Indicators (“KPIs”) associated with the VNFs. KPIs associated with a particular VNF or a set of VNFs may be monitored, and a failover event indicating service degradation or imminent service degradation may be detected based on the KPIs associated with the particular VNF or set of VNFs. Additional VNFs, associated with the particular VNF or set of VNFs, may be further identified for failover from a first data center to a second data center. The additional VNFs may be identified for failover without necessarily monitoring KPIs associated with the additional VNFs, and/or based on factors in addition to KPIs associated with the additional VNFs. For example, the additional VNFs may be failed over based on the KPIs associated with the particular VNF or set of VNFs.

Abstract: An information processing system includes an information processing apparatus having a first function, and a server apparatus being configured to communicate with the information processing apparatus via a communication network. The information processing apparatus includes an operation control apparatus being configured to control the first function. The server apparatus transmits operation permission information indicating operation permission for the first function to the information processing apparatus, in response to satisfaction of a predetermined condition related to the information processing apparatus. The operation control apparatus activates the first function, in response to the operation permission information received by the information processing apparatus.

Abstract: A set of network traffic among a plurality of legacy applications is monitored. From the set of network traffic, a communication graph is generated for the plurality. From the communication graph, a set of migratable applications within the plurality is identified. The set of migratable applications is migrated to a cloud edge layer, and a user is notified of the migration.

Abstract: In general, techniques are described by which to provide a topology-based graphical user interface for network management systems. A controller device comprising a processor and a memory may be configured to perform the techniques. The processor may monitor network devices arranged according to a network topology to obtain operational data, and obtain configuration data defining the network topology. The memory may store the operational data and the configuration data. The processor may analyze the configuration data and the operational data to provide a graphical representation of the network topology that graphically depicts the operational data, and present a single graphical user interface that presents the graphical representation of the network topology that graphically depicts the operational data.

Abstract: A link detection method includes: a server-side program acquiring connection relationships between a service interface of a TOR switch and service interfaces of various servers; the server-side program periodically sending a query message to each client-side program by means of a network management switch; in response to the query message, each client-side program returning, to the server-side program and by means of the network management switch, interface information of a service interface, which is included in a TOR switch or a server at which each client-side program is located and has connection relationships with service interfaces of other devices; and the server-side program reporting, to an upper-layer program, interface information of a service interfaces of the other devices, and the received interface information, such that the upper-layer program analyzes, on the basis of the interface information, connection situation of links for realizing corresponding connection relationships.