Abstract: Examples include a multi-node cluster having a node with a clustering layer. The clustering layer may be located between an application programming interface (API) layer and a service layer and the multi-node cluster may be associated with a database. In some examples, the clustering layer may discover whether a number of nodes associated with the multi-node cluster has changed. Based, at least in part, on the determination that the number of nodes associated with the multi-node cluster has changed, at the clustering layer, the database may be sharded and a new API call may be issued to the API layer.

Abstract: Disclosed is a network management system that provides an interface to enable diagnostics and troubleshoot of a remotely managed multi-site network. Some embodiments provide a natural language interface, while other embodiments provide a chatbot type interface that communicates with a technician via traditional text information on a display screen. The diagnostic and troubleshooting capabilities search a central data store that receives device property information from each site of the multi-site network. Based on devices or users that match portions of the entity, queries to the data store are initiated to obtain additional data on the devices. A response to the query is then provided based on the properties of the devices.

Abstract: A data processing method based on an unmanned vehicle, the method including acquiring data generated in an unmanned vehicle operating environment of the unmanned vehicle and type information of the unmanned vehicle operating environment; acquiring a data transformation logic corresponding to the type information from a pre-stored adaption repository, which stores data transformation logics corresponding to different type information; and transforming a data structure of the data according to the data transformation logic corresponding to the type information to obtain data in compliance with a preset data structure. By transforming data generated in different unmanned vehicle operating environments into data in compliance with the preset data structure, the cloud server can be assisted in analyzing and consistently processing the data in compliance with the preset data structure after they have been transmitted to the cloud server, thus improving the data processing efficiency.

Abstract: A communication management server computer that manages alliances is programmed or configured to monitor a target strength associated with a user account, which can be an alliance strength of an alliance with an ally of the user account or a relationship strength of a relationship with a contact of the user account. The server is programmed to further take a remedial measure when the monitored target strength deteriorates significantly. The server is programmed to determine the remedial measure based on alliance data, including the set of digital communications shared by the user account or another user account for exploration of relationships. The remedial measure can lead to actions taken by a specific user account that is connected to the user account and the ally or the contact through one or more alliances or relationships.

Abstract: A method performs round-trip time determination between a source element and a target element, the source element is a forwarding element of a software defined network, which also includes a software defined network controller for controlling the forwarding elements. The method includes: instructing the source element to install a low priority detection rule, the low priority detection rule being triggerable by an incoming pong probe packet; instructing the source element to install at least one high priority detection rule having a timeout period, the high priority detection rule being triggerable by the incoming pong probe packet; instructing the source element to send a ping probe packet from the source element to the target element; deriving an estimate range for the round-trip time based on the detection rule being triggered by the pong probe packet received by the source element from the target element in response to the ping probe packet.

Abstract: Platform-agnostic model source code may refer to a file that includes platform-agnostic notations and source code according to a programming language. The source code may lack explicit references to specific computing resource service providers. The platform-agnostic model source code may be parsed to determine a set of computing resources of a computing resource service provider to provision. The set of computing resources may be provisioned and exposed via an endpoint. The platform-agnostic notations may be used to determine addition source code according to the programming language that can be used to access the set of computing resources. A runtime (e.g., software application) may be generated from the source code and the additional source code such that the execution of the runtime utilizes at least a portion of the set of computing resources.

Abstract: A computer-implemented method according to one embodiment includes identifying an event, utilizing a server device, determining a match between the event and an historical event, utilizing the server device, identifying historical data sharing behavior associated with the historical event, utilizing the server device, determining, by the server device, one or more data sharing actions to be performed during the event, utilizing the historical data sharing behavior, and automatically implementing the one or more data sharing actions in response to an initialization of the event, utilizing the server device.

Abstract: There is provided an apparatus including a virtual machine unit for remote training, configured to implement a virtual remote training environment regarding physical software coding training between a student terminal and a teacher terminal, a virtual machine unit for remote control, configured to implement a virtual remote control environment regarding physical operation control over a physical device connected to the student terminal and to perform direct remote control of the teacher terminal, and a hypervisor unit for physical device control, configured to intercept the direct remote control of the teacher terminal over the physical device in the virtual remote training environment and to provide the teacher terminal with a right to control the physical device.

Abstract: A method includes receiving network traffic data relating to one or more devices of a plurality of home networks, wherein each home network of the plurality of home networks relates to a respective household. The method further includes determining one or more household related features by feature engineering the network traffic data, wherein the one or more household related features are related to one or more of: a device property, a security threat event, and an application usage, associating, in a database, the one or more household related features with identification data assigned to each household, identifying household clusters that represent groups of households comprising a predetermined number of common household related features, and providing a targeted service to a customer based on a household cluster associated with a household of the customer.

Abstract: Information is collected about a user, e.g., the user's interests, from the user's interaction with digital messaging content. Information collected about the user can be used to identify an interest of the user. The identified interest(s) can be used to select content to be presented to the user. By way of a non-limiting example, information collected in response to the user clicking on a link in an electronic mail, email, message can be used to identify one or more content items to be presented to the user. By way of yet another non-limiting example, the identified content item(s) can comprise advertising content, news articles, etc.

Abstract: A method for stateless distribution of bidirectional flows with network address translation (NAT) comprises: determining an original source port for a first packet of a front-end received from a client device, wherein the original source port is associated with a processing core; selecting a new source port for a back-end flow, wherein the new source port is selected such that the back-end flow is returned to the processing core of the front-end flow; replacing the original source port with the new source port; and transmitting the incoming flow to a destination server.

Abstract: In one embodiment, a method includes, by one or more computing systems, receiving, from a client system, an input in a multi-turn message thread, parsing the input to identify a plurality of hypothesis dialog states associated with the input, generating a plurality of functions corresponding to the plurality of hypothesis dialog states, calculating a plurality of probability scores for the plurality of functions, respectively, based on a prior dialog state associated with the message thread and a current user context, wherein each probability score represents a likelihood that the respective function is associated with an intended dialog state, and storing the plurality of functions if each of the probability scores is below a threshold probability score, wherein the plurality of functions is stored as a hierarchical set of functions that is used as the prior dialog state in response to a next input in the message thread.

Abstract: A method of electronic communication via a virtual network function (NFV) implementation of a core network. The method comprises receiving a hypertext transfer protocol (HTTP) content request from a user equipment (UE), wherein the HTTP content request comprises an identification of a content source and determining by an orchestrator service that insufficient NFV processing capacity is available to perform the HTTP content request, where the orchestrator service is an application that executes on a first physical host. The method further comprises dynamically increasing the NFV processing capacity by the orchestrator service, performing the HTTP content request using the increased NFV processing capacity, and returning a HTTP content response to the UE, wherein the HTTP content response does not comprise identification of the content source.

Abstract: Methods and systems for managing network device fabrics. The methods and systems may entail the re-assignment of enforcement responsibilities, pertinent to one or more traffic management and/or access rules, from a service device to a network device fabric.

Abstract: In one embodiment, a method includes, by one or more computing systems, receiving, from a client system, an input in a multi-turn message thread, parsing the input to identify a plurality of hypothesis dialog states associated with the input, generating a plurality of functions corresponding to the plurality of hypothesis dialog states, calculating a plurality of probability scores for the plurality of functions, respectively, based on a prior dialog state associated with the message thread and a current user context, wherein each probability score represents a likelihood that the respective function is associated with an intended dialog state, and storing the plurality of functions if each of the probability scores is below a threshold probability score, wherein the plurality of functions is stored as a hierarchical set of functions that is used as the prior dialog state in response to a next input in the message thread.

Abstract: A technique includes causing an agent device to setup a replication partnership between a first storage node and a second storage. Causing the agent device to setup the replication partnership includes configuring a proxy server that is associated with the second storage node to establish a secure communication channel for the replication partnership over a public network. Configuring the proxy server includes storing in the proxy server credentials for authenticating the first storage node to use the secure communication channel; and establishing port translations to be used in the secure communication channel in communicating replication data between the first storage node and the second storage node. Causing the agent device to setup the replication partnership may also include communicating replication partnership information to the second node.

Abstract: In one embodiment, the interactive virtual meeting assistant implements a meeting debrief post-processing operation. For a given meeting that the interactive virtual meeting assistant participated in, a meeting post-processing engine enables one or more participants of the meeting to associate a debrief with the meeting. The debrief may be an audio recording, a video recording, text, or any file. The meeting post-processing engine stores the debrief in data stores and provides access to the debrief via the meeting GUI associated with the meeting. The meeting post-processing engine also processes the debrief to generate tasks to be assigned to participants or other entities and/or schedule reminders to be provided to the participants or other entities. The debrief may be private, such that only the participant who provided the debrief may subsequently access the debrief.

Abstract: A system is configured for extracting historical information for a first plurality of resource pools, generating a historical dynamic graph based on the historical information, identifying from the historical information, a historical set of resource distribution events associated with a malfeasance, determining from the historical dynamic graph, at least one historical malfeasance pattern, receiving current resource distribution request information for a second plurality of resource pools, generating a current dynamic graph comprising a current plurality of nodes and a current plurality of edges, monitoring the current dynamic graph and identify a current malfeasance pattern, and executing one or more remediation actions on one or more of the second plurality of resource pools associated with the current dynamic graph.

Abstract: In one embodiment, a network assurance service that monitors a network detects anomalies in the network by applying one or more machine learning-based anomaly detectors to telemetry data from the network. The network assurance service receives ranking feedback from a plurality of anomaly rankers regarding relevancy of the detected anomalies. The network assurance service calculates a rescaling factor and quantile parameter by applying an objective function to the ranking feedback, in order to optimize the rescaling factor and quantile parameter of the one or more anomaly detectors. The network assurance service adjusts the rescaling factor and quantile parameter of the one or more anomaly detectors using the calculated rescaling factor and quantile parameter.

Abstract: In some embodiments, a method for recommending content based on network conditions comprises: receiving, from a first user device, a request to present media content recommendations on the first user device; in response to receiving the request, determining information indicating a user context associated with the first user device and network connectivity information associated with a connection status of the first user device over a communications network; identifying a group of media content items to recommend based on the user context and the network connectivity information; and causing recommendations for the group of media content items to be presented on the first user device.