Abstract: Techniques are described with regard to application integration management. An associated computer-implemented method includes receiving from at least one user a request to map a plurality of data fields associated with a workflow during an application integration session and automatically mapping all data fields among the plurality of data fields for which a mapping confidence value is greater than or equal to a confidence level threshold set at a default value. The method further includes receiving mapping evaluations from each of the at least one user for each automatic data field mapping based upon the confidence level threshold set at the default value, processing at least one confidence level threshold adjustment input selection from one or more of the at least one user, and deriving at least one candidate default confidence level threshold value based upon the at least one confidence level threshold adjustment input selection.

Abstract: Provided is a method and apparatus for searching for a Maintenance End Point (MEP), and a storage medium. The method includes that: a chip of the MEP parses an obtained packet; the chip of the MEP determines whether a field of the parsed packet matches a field in a combination of a port and a Virtual Local Area Network (VLAN); and in a case where the field of the parsed packet matches the field in the combination of the port and the VLAN, the chip of the MEP determines that the MEP is found successfully.

Abstract: Disclosed embodiments include a network device having a split network stack that includes a physical (PHY) layer associated with first and second media access control (MAC) protocol sublayers, a processing device, and memory storing instructions that, when executed by the processing device, cause the processing device to select a route through the split network stack that includes one of the first and second MAC protocol sublayers but not the other one of the first and second MAC protocol sublayers.

Abstract: Methods and systems for the dynamically re-clustering of nodes in clusters to provide optimal performance and/or the most efficient use of resources through the use of machine learning models. Specifically, the methods and systems may determine a cluster that optimally performs and/or has the most efficient use of resources based on a first machine learning model. The methods and system may then retrieve available substitute nodes from other domains and/or networks that may lie outside the cluster, but may nonetheless be available to, or accessed by the cluster. The methods and systems may then generate an additional plurality of clusters using one or more of the original nodes of the originally selected clusters and/or one or more of the available substitute nodes.

Abstract: An automated support system for local networks of connected devices has local network agents each comprising a digital processor, a memory, a local communications wireless interface for communicating locally with devices in the local network, and remotely with cloud-based servers. The servers include an interface for communicating with the local networks, and a recommendation engine programmed to dynamically communicate with the local network agents via the interface to capture support requests concerning devices and services, to perform work flow processing to generate a resolution for such support requests, and to communicate the resolution to the local network agent. The recommendation engine automatically generates a context for each support request, the context including historical resolution data for that local network, or device, or service.

Abstract: In some implementations, a network monitoring system may measure a traffic metric for a first component of a network device. The network monitoring system may determine, based on a trained component monitoring model, that an obtained measurement of the traffic metric for the first component satisfies a criteria associated with the traffic metric pattern. The network monitoring system may compare, based on determining that the obtained measurement satisfies the criteria, the obtained measurement to a corresponding measurement of the traffic metric for a second component of the network device. The network monitoring system may determine that a measurement difference between the obtained measurement for the first component and the corresponding measurement for the second component satisfies a difference threshold. The network monitoring system may perform, based on the measurement difference satisfying the difference threshold, an action associated with the first component.

Abstract: A method comprising discovering workload attributes and identify dependencies, receiving utilization performance measurements including memory utilization measurements of at least a subset of workloads, grouping workloads based on the workload attributes, the dependencies, and the utilization performance measurements into affinity groups, determining at least one representative synthetic workload for each affinity group, each representative synthetic workload including a time slice of a predetermined period of time when there are maximum performance values for any number of utilization performance measurements among virtual machines of that particular affinity group, determining at least one cloud service provider (CSP)'s cloud services based on performance of the representative synthetic workloads, and generating a report for at least one of the representative synthetic workloads, the report identifying the at least one of the representative synthetic workloads and the at least one CSP's cloud services inclu

Abstract: Implementations relate to interactions, over a wireless communication modality, between an automated assistant of an automobile computer system, and separate client device(s). In some of those implementations, the client device(s) can be paired with the automobile computer system, and the client device(s) and the automobile computer system can include separate instances of an automated assistant, which can be associated with different user accounts. In some additional or alternative implementations, particular actions to be performed by a local application of a client device can be advanced via user interaction with the automobile automated assistant, despite a counterpart to the local application not being installed directly on automobile computer system.

Abstract: A network state tracking system tracks the state of a network and recommends an action when the state of the network changes. The network state tracking system detects one or more nodes on the network and generates one or more snapshots of the network. The snapshots are generated by obtaining first and second status data from the nodes and detecting whether a change in the network has occurred based on the status data. The snapshots are generated based on the first and second status data when a change in the network is detected. The snapshots are then used to train a machine learning model to recommend an action to take when a change in the network occurs.

Abstract: A framework for transfer learning for radio resource management-related tasks in radio access networks is defined in terms of functional entities of the network operator and associated signaling. A source learner (110) provides parameters or policies that incorporate knowledge related to another context than the actual context in which the RRM-related task is to be executed. A target learner (120) converts the source policies and parameters into models or target policies relevant to the actual context of the RRM-related task. An actor (130) receiving target learner's output is enabled to determine an RRM-related action for accomplishing the RRM-related task.

Abstract: One or more processing devices derive values indicative of various aspects of how a particular service in an information technology (IT) environment is performing at a point in time or for a period of time. The values are derived by a search query over machine data associated with the one or more entities that provide the service. The one or more processing devices define and apply time varying static thresholds in respect to the values. A user (e.g., IT manager) may be enabled to manipulate or define multiple sets of KPI thresholds that vary over time.

Abstract: According to one embodiment, a state diagnosis apparatus includes a processing circuit. The processing circuit executes a model receiving, as an input, first data relating to a state of a device at each of a plurality of stages along a time series and outputting a first numerical value quantitatively indicating the first data for each of the stages. The processing circuit determines whether or not first numerical values output from the model monotonously change along the time series.

Abstract: Systems, methods, and media for correlating information corresponding to multiple related frames on a web page are provided. In some embodiments, a method for identifying corresponding iframes on a web page to a server is provided, the method comprising: loading a web page including a plurality of iframes; receiving the requested content and identifying information for a first iframe; loading an event listener; determining a location of the first iframe in the structure of the web page; transmitting a message to a second iframe including the first identifying information and location of the first iframe; receiving, using the event listener, a message from the second iframe including second identifying information and location of the second iframe; determining that the second iframe is nested within the first iframe; and transmitting a third message to a server including at least the second identifying information and location of the second iframe.

Abstract: Methods and systems for managing data processing system are disclosed. A data processing system may include one or more hardware and/or software components. The operation of the data processing system may depend on the operation of these components. To manage the operation of the data processing system, future failures of the hardware components may be predicted and used as a basis for predicted services to reduce the threat of the predicted component failures. To manage performance of the predicted services, the predicted services may be scheduled for performance. To schedule performance of the predicted services, limitations on availability of service professionals that may complete the predicted services may be taken into account.

Abstract: A content delivery network includes an overlay network having a plurality of cache servers. Each cache server configured to receive a request from a personal content server to register with the content delivery network, receive a request from a mobile capture device to establish communication with the personal content server, and establish a communication path through the overlay network between the mobile capture device and the personal content server. Each cache server is further configured to transfer content from the mobile capture device along the communication path to the personal content server.

Abstract: Various embodiments comprise systems, methods, architectures, mechanisms and apparatus for controlling Quality of Service (QoS) within a service provider network by retrieving from the network QoS related data, processing the retrieved QoS related data via one or more time series prediction algorithm to determine QoS prediction data, and responsively generating network management or configuration commands adapted to ensure continued services delivery in accordance with QoS requirements.

Abstract: A method and a system for using a graph neural network framework to implement a link prediction in a multiplex network environment is provided. The method includes: identifying a plurality of layers of a multiplex network, each respective layer including a respective plurality of nodes; for each node included in at least a first layer, providing, by a structural node label and determining a common embedding across all of the plurality of layers and an individual embedding for each individual layer; using a k-nearest approach to select a subset of the plurality of layers for performing link prediction with respect to each layer based on the determined embeddings; and performing a link prediction by determining a respective feed-forward network with respect to each layer included in the selected subset.

Abstract: A system securely provisions a resource for access by computing systems of an untrusted network. The provisioning is performed securely such that at no stage during the process the computing systems of the untrusted network have direct access to the computing systems of the trusted network. The system creates a temporary network connected to the trusted network and provisions the requested resource in the temporary network. The system connects the temporary network to the trusted network for provisioning of the resource. The system disconnects the trusted network from the temporary network before connecting the untrusted network to the temporary network for providing access to the resource.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for remotely managing and adapting monitoring programs using machine learning predictions. In some implementations, data describing a monitoring program that involves collecting data over a period of time from geographically distributed devices is accessed. Composition characteristics of the monitoring pro group for the monitoring program are determined. Predicted composition characteristics are generated for a portion of the monitoring group predicted to comply with the monitoring program requirements for the period of time. It is determined whether the predicted composition characteristics indicate at least a minimum level of diversity among the portion of the monitoring group. The system communicates with one or more devices associated with the monitoring program.

Abstract: A message broker customization system and method with user administered policy functions. The system uses user defined and controlled policy functions to programmatically customize the behaviors of a message broker's processing of messages and further allowing for that customization to take place on a per channel basis. This provides for greater functionality and flexibility to the users of a message system, especially when the users of the message system do not have administrative control over the message broker.