Abstract: Event management system and method. Events comprise physical and logical attributes. Tuples are created to identify a set of logical attributes. The tuples are arranged in hierarchized relations by creating binarized co-occurrence matrices, each co-occurrence matrix reflecting different time intervals and indicate occurrence of tuples in time windows of the time intervals. Tuple pairs are analyzed to determine probabilistic score related to co-occurrence, and tuple families are created from tuple pairs based on the probabilistic score. From tuple families, events are used to extract tuple instances including physical attributes, which are arranged as tuple-instance families using the corresponding tuple families as reference.

Abstract: A method may include ingesting a plurality of sources files from a plurality of infrastructure assets; inputting the plurality of source files into a cognitive computing engine (CCE); receiving an output from the CCE, the output indicating a plurality of relationships between the infrastructure assets; and updating a data store based on the plurality of relationships.

Abstract: A computer-implemented method for automated operation of network devices within a home communication network includes detecting actuator actions for a plurality of actuators within the home communication network, each actuator of the plurality of actuators configured to change a state of at least one network device. The detected actuator actions are correlated with one or more sensor values from a plurality of sensors within the home communication network to generate configuration data. The configuration data includes a trigger graph with one or more trigger conditions and an action graph corresponding to the trigger graph. The action graph indicates one or more actuator actions associated with at least one actuator of the plurality of actuators. Upon detecting a trigger condition of the one or more trigger conditions, the at least one actuator of the plurality of actuators is triggered to perform the one or more actions indicated by the action graph.

Abstract: Techniques for improving performance in a video conferencing system by using an automated testing system are described herein. The testing system can receive a request, from a user, for a meeting bot to participate in a video conference being hosted by a video conferencing system. The meeting bot. The system can select a first meeting bot from a plurality of meeting bots. Additionally, the system can grant access control of the first meeting bot to the user. Moreover, the system can obtain, from the first meeting bot, metrics data of the first meeting bot that is associated with performance of the video conference. Furthermore, the system can calculate a performance value based on the metrics data of the first meeting bot. Subsequently, the system can perform a task based on the performance value.

Abstract: Embodiments of the present disclosure provide systems and methods for sharing encrypted organization data packets among network devices using service-oriented protocol. Method implemented at first network device associated with first autonomous system (AS) includes accessing organization packet (OP) routing information, data structure and service information relating to organization associated with first AS. OP routing information and the service information are being accessed based on organization identifier of the organization and the service information indicating service type associated with the organization. Method includes sending connection request including the data structure and the service information to second network device to establish linked network path. The method includes receiving acknowledgment from the second network device.

Abstract: The present invention is directed to a system and a method for facilitating the consistent update of routing tables across the routers of a routing layer in a distributed messaging system. The routers are configured to send together with the outbound message the routing table version used to route the outbound message, which is compared, at the level of the enqueue layer, with the latest deployed routing table version and/or the latest routing table version used to route messages to the requested message queue. If the routing table version of the outbound message is older than the latest deployed routing table version and/or the latest routing table version used to route messages to the requested message queue, then the outbound message is rejected, otherwise, the message is enqueued to the requested message queue.

Abstract: A system for multimedia content delivery includes one or more processors; and a storage medium storing instructions. When executed, the instructions may configure the one or more processors to perform operations including: delivering to a set of client devices a manifest including fake segment URLs; receiving, from a client device, a segment request including a client ID and a requested URL. The method may also include selecting content for the at least one of the client devices based on the client ID when determining the requested URL is unavailable; redirecting the segment request to a content address associated with the selected content; and providing the selected content to the at least one of the client devices.

Abstract: A method for using a distributed ledger (DL) of a blockchain applicable to a network of blockchain nodes is provided.

Abstract: A needs-matching navigator system and social network facilitator appurtenances including, for a large user plurality, software driven modules residing on electronic communications enabled platforms and devices. Beyond altruistically enhancing flourishing life horizons and life quality metrics, the modules facilitate (A) knowing respective user bias, profile, perspective, wellbeing orientation, and privacy preference; (B) understanding user needs description and wellbeing criteria; (C) finding answer and solutions to the needs by user biased projecting the description onto electronically stored knowledge-bases; (D) matching the user to the answers and solutions; and preferably (E) creating an instant electronic communications interactive community for the respective user, by inverse projecting large subsets of the answers and solutions back onto the large plurality of users; according to said users' profiles and needs descriptions.

Abstract: Disclosed is a method of adaptive assignment of location to internet protocol (IP) indexed data streams using machine learning from partially observable location data. The method includes (i) generating an IP to location map (NM1) and a location to IP map (NM2) by (i) mapping the IP address from location indexed data streams to corresponding location temporally and vice versa, in a base map, (ii) scoring and ranking each entry in the NM1 and the NM2 based on a frequency of use of the IP address, and a number of unique entity identifiers per IP address or per location, (iii) filtering each entry in the NM1 and the NM2 to generate a dynamic IP to location map, and (iv) estimating, a location for an IP indexed data streams at multiple levels of resolutions based on the dynamic IP to location map and an active ST region of each entity.

Abstract: A method for concurrent training and updating a machine learning (ML) model at an edge node in a peer to peer network using a certifying node is provided. The method includes performing an incremental training of the ML model by a first edge node based on one or more data points associated with a data event. The first edge node ML transfers the incrementally trained ML model to the certifying node. While awaiting a response form the certifying node, the first edge node receives a certified ML model from the certifying node. The certified ML model originates from a second edge node. The first edge node performs an incremental training of the received certified ML model based on one or more data points by re-applying the data points associated with the event data. The first edge node transfers the incrementally trained ML model to the certifying node for certification.

Abstract: A novel machine learning-based network analytics, troubleshoot, and self-healing holistic telemetry system is configured to perform modem-embedded machine analysis of multi-protocol stacks (e.g. OSI model stacks) simultaneously from one integrated coherent diagnostic system alone, and identify sources of data network problems autonomously within an entire end-to-end network topology of a network operator, while not necessitating human diagnosis of the data network problems. This system uniquely embeds a smart universal telemetry (SUT) as a quality-of-experience (QoE) parameter collection agent in intermediary transport-level network equipment and each end-user modem, which in turn enables periodic or on-demand collection of robust diagnostic data from all end-user modems and intermediary transport level nodes in a data network.

Abstract: Example methods and systems are provided for network diagnosis. One example method may comprise: detecting an egress packet and determining whether each of multiple network issues is detected for the egress packet or a datapath between a first virtualized computing instance and a second virtualized computing instance. The method may also comprise: generating network diagnosis code information specifying whether each of the multiple network issues is detected or not detected; generating an encapsulated packet by encapsulating the egress packet with an outer header that specifies the network diagnosis code information; and sending the encapsulated packet towards the second virtualized computing instance to cause a second computer system to perform one or more remediation actions based on the network diagnosis code information.

Abstract: The invention provides a method for managing a plurality of events, wherein each event comprises physical attributes and logical attributes by creating tuples with the events with the same logical attributes, providing a set of hierarchized relations between tuples, by means of a pipeline algorithm, wherein parent-child relations are provided between tuples, classifying the tuples in families, each family contains all the tuples related according to the parent-child relation provided by the pipeline algorithm, identify the parent tuple of each family, defined as the tuple which has at least one children and has no parent and present the parent tuples, together with the physical attributes of the events associated to each parent tuple.

Abstract: In various example embodiments, a system and method are provided for a service data platform. The service data platform includes an application management API configured to receive software uploaded by a third party using a management application API. The service data platform also includes a plurality of graph servers configured to identify a group of lighting nodes to distribute the uploaded software and determine the uploaded software is safe for deployment to the identified group of lighting nodes. The service data platform further includes a device manager configured to distribute, using an administrative API, the uploaded software to the identified group of lighting nodes.

Abstract: Obtaining location metadata for network devices using augmented reality (AR) is disclosed herein. In one embodiment, an AR computing device receives first user inputs indicating boundary points of a device region, and determines first spatial coordinates for each boundary point. The AR computing device next receives a second user input that indicates a network device within the device region, and determines second spatial coordinates for the network device. The AR computing device may also correlate the network device with a known connected network device. The AR computing device then transmits, to a server computing device, first metadata that includes the first spatial coordinates and an identifier of the device region, and second metadata that includes the second spatial coordinates and an identifier of the indicated network device. In some embodiments, the metadata may be employed, e.g., to generate a floorplan visualization and/or a signal strength map of the device region.

Abstract: Embodiments relate to an intelligent computer platform to use ground truth data to rate source reliability, and application of the source reliability. A computer system, computer program product, and computer implemented method apply the ground truth data to evaluate a source, assess source reliability, and dynamically apply the assessed reliability. The assessed reliability is dynamically applied to response data, with the application yielding selective presentation of the response data based on the applied reliability assessment.

Abstract: Systems and methods are provided for generating content. The systems and methods include operations for: identifying a content item generation template that is associated with instructions for generating a content item; displaying, by a messaging application, an identifier of the content item generation template; receiving, by the messaging application, input that selects the identifier of the content item generation template; retrieving, by the messaging application, a plurality of content items associated with the content item generation template, each of the plurality of content items having been previously generated by a respective user of a plurality of users of the messaging application in accordance with the instructions associated with the content item generation template; and displaying, by the messaging application, the retrieved plurality of content items associated with the content item generation template.

Abstract: A method may include ingesting a plurality of sources files from a plurality of infrastructure assets; inputting the plurality of source files into a cognitive computing engine (CCE); receiving an output from the CCE, the output indicating a plurality of relationships between the infrastructure assets; and updating a data store based on the plurality of relationships.

Abstract: Differentiated sidecars in a service mesh may be provided. A first routing rule includes a first plurality of weights to be associated with a first plurality of data paths of a first microservice instance may be received. Next, first mapping between a first set of features associated with the first microservice instance and the first plurality of weights may be determined. Then a second microservice instance may be detected and a second set of features associated with the second microservice instance may be detected. A second routing rule comprising a second plurality of weights to be associated with a second plurality of data paths of the second microservice instance may be determined. The second plurality of weights may be determined such that a second mapping between the second set of features and the second plurality of weights imitates the first mapping.