Abstract: An embodiment may involve storage containing incident logs and mappings between incident logs and vector representations generated by a machine learning (ML) model.

Abstract: There are provided measures for enabling/realizing network slice discovery in an overlapping network slice deployment. Such measures exemplarily comprise registration of a network slice mapping between a network slice identification information and a network slice type information for at least one service-related network slice in an overlapping network slice deployment, said network slice type information being indicative of a service-related capability of the at least one service-related network slice, and identification of a service-related network slice in the overlapping network slice deployment on the basis of the registered network slice mapping and a service.

Abstract: This disclosure provides systems, devices, apparatus, and methods, including computer programs encoded on storage media, for configurable aprons for expanded binning. Aspects of the present disclosure include identifying one or more pixel tiles in at least one bin and determining edge information for each pixel tile of the one or more pixel tiles. The edge information may be associated with one or more pixels adjacent to each pixel tile. The present disclosure further describes determining whether at least one adjacent bin is visible based on the edge information for each pixel tile, where the at least one adjacent bin may be adjacent to the at least one bin.

Abstract: Embodiments are described for a user device comprising a transceiver configured to communicate with a server and a processor communicatively coupled to the transceiver. The processor is configured to receive a uniform resource locator (URL) from the server and determine that the URL is a universal link. The processor is further configured to authenticate the universal link and parse the universal link to obtain a domain link. The processor is further configured to connect to the domain link.

Abstract: An information handling system includes a plurality of containerized applications, a container service, a hardware device, and a host processor to initialize a host service. The container service is associated with the containerized applications. The hardware device is virtualized to the containerized applications. The host processor identifies the hardware device that is virtualized to the containerized applications. The host processor receives a power notification from the container service. Based on the power notification, the host processor changes a power state of the hardware device.

Abstract: In some implementations, a system may receive, from a barcode reader, read data associated with the barcode reader reading a barcode associated with a product. The system may receive, from an imager, image data associated with an image that depicts packaging of the product. The system may decode the read data to obtain product information that is associated with the product. The system may generate a product entry that associates the product information with the image data. The system may perform an action associated with the product entry to enable an image processing model to identify the product information based on the packaging depicted in the image.

Abstract: Embodiments provide systems and methods to load balance using tenant affinities. A method includes configuring a load balancer with a set of tenant affinities, the set of tenant affinities including a tenant affinity for each of a plurality of tenants with respect to each of a plurality of computing nodes that provide services to users in a multitenant environment. Load balancing may include receiving a user request, associated with a tenant, for a service provided by the computing nodes, determining a highest tenant affinity computing node for the tenant using the set of tenant affinities and directing the user request to the highest tenant affinity computing node for the tenant.

Abstract: One aspect provides a method and system for managing address resolution requests in a network. During operation, a gateway of the network advertises a route for sending address resolution requests and determines whether a cached entry corresponding to an address resolution request received via the route exists in a neighbor table. In response to determining that the cached entry exists, the gateway responds to the address resolution request based on the cached entry; in response to determining that the cached entry does not exist, the gateway replicates the address resolution request to edge devices in the network, thereby facilitating discovery of a target host corresponding to the address resolution request.

Abstract: The present disclosure relates to methods and apparatus for graphics processing. The present disclosure can calculate a center-edge distance of a first pixel, the center-edge distance of the first pixel equal to a distance from a first pixel center to one or more edges of a first primitive. Additionally, the present disclosure can store the center-edge distance of the first pixel when the first primitive is visible in a scene. The present disclosure can also determine an amount of overlap between the first pixel and the first primitive. Further, the present disclosure can blend a color of the first pixel with a color of a second pixel based on at least one of the center-edge distance of the first pixel or the amount of overlap between the first pixel and the first primitive.

Abstract: An embodiment may involve storage containing incident logs and mappings between incident logs and vector representations generated by a machine learning (ML) model.

Abstract: A switch that can report unavailability in a label-switched network is provided. During operation, the switch can determine that a label-switched path is unavailable for forwarding a packet. The switch can then generate a notification message for collecting unavailability information at a respective upstream hop of the label-switched path. The notification message includes a depth indicator indicating the depth of collected unavailability information and an ingress label of the packet at the switch. If the switch is an intermediate switch on the label-switched path, the switch can forward the notification message to an upstream switch on the label-switched path, thereby allowing the upstream switch to collect further unavailability information in the notification message.

Abstract: Systems and methods are provided for detecting changes in network activity that are depicted in a routing table. The routing table may be stored as a search tree data structure (e.g., Merkle Patricia Tree) to mimic a standard routing table and reduce the search time to find the desired route by allowing the router to traverse the search tree data structure more efficiently. Additionally, the metadata of the tree may be provided to an unstructured machine learning model (e.g., K-means) to identify new clusters of routes week-over-week and generate an alert with any changes. Changes are identified in near real time and dynamically at the router (not a central device) to reduce the time needed to respond to network changes.

Abstract: Embodiments are disclosed for propagating modifications made to an object to linked objects in a document. In particular, in one or more embodiments, the disclosed systems and methods comprise receiving a first input creating a first object in a first page of a document, analyzing first parameters associated with the first object, determining that the first object matches second objects in a first linked objects thread stored in a mapping of objects in the document, associating the first object with the first linked objects thread, receiving a second input including a modification to the first object, the modification including alterations to one or more of the first parameters, modifying the first object based on the alterations to the one or more of the first parameters, and automatically applying the modification to the second objects in the first linked objects thread.

Abstract: A time series forecasting service system is disclosed. The system identifies a set of cross-validation parameters to be used for cross-validating a model to be used for generating a requested forecast. The requested forecast includes a time series dataset and a forecast horizon identifying a number of time steps for which a forecast is to be made using the time series dataset. The system identifies an objective function to be minimized for determining optimal values for the set of cross-validation parameters and identifies constraints for the cross-validation parameters. The system uses an optimization technique to determine the optimal values for the cross-validation parameters. The optimization technique performs processing that determines the optimal values by minimizing the objective function while satisfying the set of constraints. The system uses the optimal values for the cross-validation parameters to perform cross-validation of the model to be used for making the requested forecast.

Abstract: Features are disclosed for managing multiple hosts that stream sequential data to nodes for propagation. The hosts can include a primary host and a failover host that each store a replica of the sequential data. A computing device can monitor the hosts and identify the occurrence of a failover event for the primary host. For example, the computing device may determine the schema has been modified. The computing device can further determine to failover to the failover host based on the failover event. The computing device can insert a flip task into the stream of sequential data for the primary host. The insertion of the flip task may be automatic. Further, each node reading from the stream of sequential data for the primary host may encounter the flip task and failover to the failover host at the same logical position but a different absolute position.

Abstract: A system and method for performing visual localization is disclosed. In aspects, the system implements methods to generate a global point cloud, the global point cloud representing a plurality of point clouds. The global point cloud can be mapped to a prior map information to locate a position of an autonomous vehicle, the prior map information representing pre-built geographic maps. The position of the autonomous vehicle can be estimated based on applying sensor information obtained from sensors and software of the autonomous vehicle to the mapped global point cloud.

Abstract: In some aspects, the disclosure is directed to methods and systems for machine learning-based data extraction using multiple string searching models. String extraction logic may differ depending on the type of document received. For documents identified to contain line item structures, broader searching models are applied to the document to account for the increased variability of data in the document inherent in data organized in line item structures. For documents identifier to contain non-line item structures, stricter searching models are applied to the document to account for predictable data in the document associated with data organized in non-line item structures.

Abstract: A creator establishes a media program including a plurality of media files or content in accordance with a broadcast plan. Mixing systems establish connections with a mobile device of the creator, and with sources of the audio files or content, either manually or automatically in response to instructions of the creator. Broadcast systems establish connections with computer devices of listeners and a mixing system. Conference systems establish connections with the mobile device of the creator and a mixing system. The connections established may be one-way or two-way channels. The media program may include live or previously recorded audio content including words or sounds of the creator, as well as advertisements, music, news, sports, weather, or other programming. The media program may also include live or previously recorded interviews or other conversations with guests, including but not limited to one or more listeners.

Abstract: A system and a method for performing programmable analytics on network data are described. A data layer constructs flow behavior information based on information present within headers of data packets flowing across one or more network devices configured in a computer network. An inline heuristics layer performs one or more inline heuristic operations on the flow behavior information to obtain aggregate statistical information. An integrated analytics layer performs one or more analytical operations on the flow behavior information to obtain network insights. A presentation layer filters and plots information obtained from the data layer, the inline heuristics layer, and the integrated analytics layer, based on a user input.

Abstract: A system and associated method provides a visualization of a life cycle of a trade order. The visualization may be in the form of a tree structure with a plurality of linked nodes. Each node may be associated with an event that occurs during the life cycle of the trade. A monitoring system receives information associated with a plurality of events associated with the trade order, generates a plurality of nodes based on the received information, stores identifiers associated with each of the plurality of nodes, and links the plurality of nodes based on the identifiers to create the tree structure. The monitoring system also performs a verification process to determine whether the visualization is missing information or includes incorrect information and alerts to a discrepancy identified during the verification process.