Abstract: Systems, methods, and computer-readable media for discovering a network's topology and health. In some examples, a system can obtain, from at least one of a plurality of controllers on a network, a logical model of the network, the logical model including configurations of one or more objects defined for the network. Based on the logical model, the system can identify a respective location of the plurality of controllers in the network and a plurality of nodes in a fabric of the network. Based on the respective location of the plurality of controllers and plurality of nodes, the system can poll the plurality of controllers and plurality of nodes for respective status information, and determine a health and topology of the network based on the logical model, the respective location, and respective status information.

Abstract: Embodiments are generally directed to enhanced power management for support of priority system events. An embodiment of a system includes a processing element; a memory including a registry for information regarding one or more system events that are designated as priority events; a mechanism to track operation of events that requires Turbo mode operation for execution; and a power control unit to implement a power management algorithm. The system is to maintain an first energy budget and a second residual energy budget for operation in a Turbo power mode, and wherein the power management algorithm is to determine whether to authorize execution of a detected system event in the Turbo power mode based on the second residual energy budget upon determining that the first energy budget is not sufficient for execution of the detected system event and that the detected system event is designated as a priority event.

Abstract: An apparatus includes an interface, a capacity engine, a monitoring engine, and a purging engine. The interface receives a request to repair a cache. The capacity engine monitors a cache to determine a first amount of data the cache receives in a first predetermined amount of time. The capacity engine determines a second amount of data indicating an estimated amount of data the cache will receive in a second predetermined amount of time. The capacity engine determines a size of the cache and a maximum size threshold using the second amount of data. The monitoring engine determines an available capacity of the cache and that the available capacity is less than or equal to the maximum size threshold. The purging engine purges data from the cache.

Abstract: A digital-to-analog converter (DAC) controller system may be configured for controlling switching in an associated digital-to-analog converter (DAC), based on a plurality of system inputs that include at least a first system input corresponding to an input applied to the DAC for controlling switching therein, and a second system input that includes a reference control signal. The DAC controller system may include a logic gate circuit that generates a gate output based on two gate inputs that include the first system input and an input set based on the second system input; and a plurality of timing circuits that generate timing outputs for controlling timing of switching in the DAC, which include at least one timing circuit that generates a timing output based on the gate output, with the timing output configured for application in conjunction with and for adjusting a timing output of another timing circuit.

Abstract: Methods and apparatuses are described for real-time monitoring of computer system processor and transaction performance during an ongoing performance test. A plurality of monitoring agent processes executing on a processor of a first computing device in a computer system testing environment extracts performance data relating to the ongoing performance test in the computer system testing environment by scraping CPU usage data, analyzing submitted transaction data as stored in a transaction log file and executing search queries against a transaction database in the computing system testing environment to generate a transaction lifecycle dataset.

Abstract: Example methods and apparatus to generate recommendation(s) for access point association by a client device are disclosed. An example method includes calculating an effective uplink data rate for the client with respect to a first access point based on a) an uplink data rate and b) a percentage of uplink airtime available to the client. The example method includes calculating a first effective downlink data rate with respect to the first access point based on a) a downlink data rate for and b) a percentage of downlink airtime available to the client. The example method includes computing a first metric for the first access point based on the first effective uplink data rate, the first effective downlink data rate, and a noise floor scaling factor. The example method includes generating an access point recommendation by comparing the first metric and a second metric for a second access point.

Abstract: In some examples, embedded designer implementation may include, upon receiving an indication of actuation of a second designer launch element that is included in a first designer, launching a second designer inline from the first designer. Further, embedded designer implementation may include, upon receiving an indication of actuation of a first designer return element that is included in the second designer, returning to the first designer inline from the second designer. The first designer and the second designer may include a configurable component. Further, embedded designer implementation may include utilizing a common portion of the memory for the configurable component.

Abstract: Aspects of the disclosure relate to computing systems for receiving user requests through channels of a webpage and performing computational functions corresponding to the user requests. In one embodiment, a computing platform may detect a change corresponding to input parameters for performing a user request through a first representation of a webpage. The computing platform may update, based on the detected change corresponding to the input parameters, a natural language processing application associated with a second representation of the webpage. The computing platform may generate, based on the updated natural language processing application associated with the second representation of the webpage, a logical table including one or more questions to ask a user through the second representation of the webpage in response to one or more user inputs.

Abstract: An identification and management system for log entries may filter historical data and generate closed log entries as a reference dataset. A dynamic learning engine may perform statistical modelling using the reference dataset to assign predetermined categories to each of a number of open log entries. An automation index may be generated for each of the open log entries. The automation index is indicative of accuracy of the assigned categories. Some of the open log entries may be identified as priority log entries which are representative of a group of the open log entries. The assigned category of the priority log entries may be analyzed for accuracy and the results of the analysis may be used to train the statistical model so that the open log entries may be iteratively assigned and re-assigned a category until the category of each open log entry reaches a desired accuracy.

Abstract: Example method includes: determining, by a network device, a plurality of client devices' locations within a wireless network; assigning the plurality of client devices into a number of clusters; calculating an original cluster centroid location for each cluster of client devices; calculating an average distance between each client device in a particular cluster and the original cluster centroid location for the particular cluster; iteratively adjusting the number of clusters and assignment of the plurality of client devices to determine the number of clusters associated with a low number of cluster and a low average distance from each client device in a respective cluster to a respective cluster centroid location; and assigning a subset of access points in the wireless network to a high priority, each AP in the subset having the closest distance to the respective cluster centroid location corresponding to the determined number of clusters.

Abstract: System and computer-implemented method for enabling end-user license enforcement of an application in a hybrid cloud system use data associated with at least one component of a public cloud computing environment of the hybrid cloud system to detect an environment-changing event involving at least one processing entity in the hybrid cloud system. Once the environment-changing event is detected, one or more operating environment identifiers are injected into the processing entity. The injected operating environment identifiers can then be accessed by an application in the processing entity to perform an end-user license check for enforcement.

Abstract: Systems and methods are disclosed for generating term frequencies of known terms based on crowdsourced differentially private sketches of the known terms. An asset catalog can be updated with new frequency counts for known terms based on the crowdsourced differentially private sketches. Known terms can have a classification. A client device can maintain a privacy budget for each classification of known terms. Classifications can include emojis, deep links, locations, finance terms, and health terms, etc. A privacy budget ensures that a client does not transmit too much information to a term frequency server, thereby compromising the privacy of the client device.

Abstract: An electronic device is provided. The electronic device may include a sensor module including sensing circuitry configured to sense a temperature of at least part of the electronic device and a processor electrically connected with the sensor module. The processor is configured to perform a function using a first output device operatively connected with the electronic device, to determine a temperature of the electronic device using the sensor module, while the function is executed, and to perform at least part of the function using a second output device operatively connected with the electronic device, if the temperature is within a predetermined temperature range.

Abstract: Techniques for search with autosuggest and refinements are disclosed. In some embodiments, search with autosuggest includes determining a plurality of potential query suggestions for a partially entered query string; and automatically suggesting a plurality of queries based on a query count for each of the queries. For example, the query count can correspond to a popularity of the query. In some implementations, the query count can be determined based on a number of times that the query was received, and the plurality of queries can be listed based on the popularity of each of the plurality of queries (e.g., to facilitate display of more popular queries higher in the list of suggested queries).

Abstract: Example method includes: determining, by a network device, a plurality of client devices' locations within a wireless network; assigning the plurality of client devices into a number of clusters; calculating an original cluster centroid location for each cluster of client devices; calculating an average distance between each client device in a particular cluster and the original cluster centroid location for the particular cluster; iteratively adjusting the number of clusters and assignment of the plurality of client devices to determine the number of clusters associated with a low number of cluster and a low average distance from each client device in a respective cluster to a respective cluster centroid location; and assigning a subset of access points in the wireless network to a high priority, each AP in the subset having the closest distance to the respective cluster centroid location corresponding to the determined number of clusters.

Abstract: The subject technology provides for generating machine learning (ML) model code from a ML document file, the ML document file being in a first data format, the ML document file being converted to code in an object oriented programming language different than the first data format. The subject technology further provides for receiving additional code that calls a function provided by the ML model code. The subject technology compiles the ML model code and the additional code, the compiled ML model code including object code corresponding to the compiled ML model code and the compiled additional code including object code corresponding to the additional code. The subject technology generates a package including the compiled ML model code and the compiled additional code. Further, the subject technology sends the package to a runtime environment on a target device for execution.

Abstract: A set of partial tenant objects are created within a hosted service. The set of partial tenant objects have placeholders for tenant identifiers, domain identifiers and user identifiers. Upon receiving a request to provision a tenant, a particular partition of the hosted service, corresponding to the tenant, is identified and a provisioning agent in the identified partition is called to provision the tenant. The provisioning agent selects one of the partial tenant objects which is bound to tenant-specific information, such as a specific tenant identifier, custom domain chosen by the tenant, and a user identifier input by the tenant.

Abstract: A computing apparatus, including: a hardware platform including a processor and memory; and a system management interrupt (SMI) handler; first logic configured to provide a first container and a second container via the hardware platform; and second logic configured to: detect an uncorrectable error in the first container; responsive to the detecting, generate a degraded system state; provide a degraded state message to the SMI handler; instruct the second container to seek a recoverable state; determine that the second container has entered a recoverable state; and initiate a recovery operation.

Abstract: The present disclosure pertains to methods and systems for using soil, weather and terrain data in combination with historical yield data to make field management decisions. Precision farming data may be used in conjunction with the disclosed methods to prioritize field drainage decisions through the addition of drainage tile.

Abstract: MU-MIMO provides a mechanism for a wireless network device to transmit to multiple client devices at the same time. When employing MU-MIMO, a network device may group two or more associated client devices, and transmit beamformed signals to each group. In some implementations, a network device may initiate channel sounding. Channel sounding may include transmitting sounding frames to client devices associated with two or more basic service sets. Channel sounding may facilitate beamforming transmissions to client devices associated with the two or more basic service sets. The network device may receive feedback frames from client devices associated with the two or more basic service sets. A feedback frame may indicate how a sounding frame was received. In some implementations, the network device may further construct a feedback table from the feedback frames. The feedback table may facilitate grouping of the client devices for beamforming transmissions.