Abstract: In one embodiment, an apparatus includes a plurality of antennas, a plurality of Front End Modules (FEMs) coupled to the antennas, an input for receiving Power over Ethernet (PoE), a PoE detector for identifying a type of PoE received at the apparatus, wherein the type of PoE is associated with a PoE power budget, and a power controller for applying a PoE power conservation policy based on the PoE power budget, wherein applying the PoE power conservation policy comprises switching between a normal operating voltage and a reduced operating voltage at the FEMs. A method is also disclosed herein.

Abstract: A method comprising: at a multi-link device (MLD) configured for multi-link operation: establishing a first Internet Protocol (IP) stack of a first IP type and configured with a first IP address of the first IP type, wherein the first IP stack is associated to a first MLD media access control (MAC) address of a first station of the MLD; establishing a second IP stack of a second IP type and configured with a second IP address of the second IP type, wherein the second IP stack exists concurrently with the first IP stack and is associated to a second MLD MAC address of a second station of the MLD; and exchanging, with a peer MLD, IP traffic using one or more of (i) the first IP stack and the first MLD MAC address, and (ii) the second IP stack and the second MLD MAC address.

Abstract: A method of orchestrating one or more radio resources among various services executing within a container. The method includes obtaining, by an orchestration engine executing on a network device, a request, from a first service of a plurality of services, for use of a physical/hardware resource that connects a container running on the network device to a network. The request from the first service has a particular priority. The plurality of services execute within the container. The method further includes determining whether to connect the first service to the network via the physical/hardware resource based on the priority and an availability status of the physical/hardware resource and establishing, at a kernel level, a connection between the first service and the physical/hardware resource based on the determining.

Abstract: A meeting server receives from a client device a join request for a user to join a scheduled meeting. An identifier is obtained for the user based on the join request. Information for the meeting is accessed based on the join request, the information including a list of invitees for the meeting. The identifier for the user is compared with the list of invitees for the meeting. It is determined whether to connect the client device to the meeting based on the comparing.

Abstract: In one embodiment, a method includes receiving low voltage pulse power from power sourcing equipment at a powered device, synchronizing the powered device with a waveform of the low voltage pulse power received from the power sourcing equipment, and operating the powered device with high voltage pulse power received from the power sourcing equipment.

Abstract: A photonic polarization splitter rotator (PSR) includes a substrate, a first optical waveguide disposed on the substrate at a first layer, the first optical waveguide having a substantially rectangular shape and longitudinally arranged between a first end of the first optical waveguide and a second end of the first optical waveguide, and a second optical waveguide arranged to have a partial and fixed amount of overlap over a predetermined length of the first optical waveguide.

Abstract: Broadcast energy and spectrum consumption optimization may be provided. It may be determined, by a computing device for each of a plurality of client devices, a corresponding plurality of respective minimum Modulation and Coding Schemes (MCSs) needed to reach each of the respective plurality of client devices from the computing device at a predetermined power level. Next, an optimal MCS from the plurality of respective minimum MCSs may be used to reach a first group of the plurality of client devices via broadcast. Then unicast may be used to reach a second group of the plurality of client devices wherein the optimal MCS is selected to minimize the total amount of airtime used for the broadcast and the unicast.

Abstract: Broadcast operations by a selected subset of Access Points (APs) may be provided. A first plurality of APs to perform broadcast may be selected from a plurality of APs. Next, a plurality of client devices may be moved from a second plurality of APs to the first plurality of APs during a broadcast period. Then, the plurality of client devices may be moved to the second plurality of APs from the first plurality of APs after the broadcast period.

Abstract: Multimodal wireless and deterministic mode operation may be provided. An indication may be provided to a client device by an Access Point (AP) that the AP supports multimode operation and which current sub-mode is enabled. Then a determination may be received from the client device to perform an operation based on the indication that the AP supports multimode operation and which sub-mode is currently enabled wherein the operation comprises one of prefer the AP and avoid the AP.

Abstract: Leveraging wireless direct transmissions may be provided. It may be determined that data traffic flowing on a first pathway between a first client device and a second client device is not meeting a predetermined service level. The first pathway may be partially wired and partially wireless. A second pathway that will meet the predetermined service level may be determined. The second pathway may be wireless. The data traffic may be caused to flow on the second pathway.

Abstract: A method is provided for low light exposure control during night vision. The method may include actively illuminating a region by using a plurality of IR LEDs. The IR LEDs are arranged so that an IR LED of the plurality of IR LEDs covers one of a plurality of zones, which combine to cover the region. The method may also include capturing an image frame by an imaging system including an image sensor. The image frame may be made up of pixels and captured using the light originating from the plurality of IR LEDs and reflected from the region onto the image sensor. The method may also include calculating auto-exposure control (AEC) parameters for the image frame to establish an average setting, recalculating AEC parameters for a first zone the plurality of zones and adjusting the power of a first IR LED of the plurality of IR LEDs.

Abstract: The present technology pertains to receiving a tag associating at least one routing domain in an on-premises site with at least one virtual network in a cloud environment associated with a cloud service provider. The present technology also pertains to the automation of populating route and propagation tables with the cloud service provider.

Abstract: Techniques for combining threat-related events associated with different modalities to provide a complete insight into cyber attack life cycles. The techniques may include receiving telemetry data associated with one or more modalities and detecting, based at least in part on the telemetry data, one or more abnormal events associated with security incidents. The one or more abnormal events may include at least a first abnormal event associated with a first modality and a second abnormal event associated with a second modality. The techniques may also include determining that an entity associated with the abnormal events is a same entity and, based at least in part on the entity comprising the same entity, determining that a correlation between the abnormal events is indicative of a security incident. Based at least in part on the correlation, an indication associated with the security incident may be output.

Abstract: In one embodiment, a method includes receiving at a thermal modeling module, data from a Power Sourcing Equipment device (PSE) for cables extending from the PSE to Powered Devices (PDs), the cables configured to transmit power and data from the PSE to the PDs, calculating at the thermal modeling module, thermal characteristics for the cables based on the data, and identifying a thermal rise above a specified threshold at one of the cables. The data comprises real-time electrical data for the cables. An apparatus and logic are also disclosed herein.

Abstract: Disclosed are systems, apparatuses, methods, and computer-readable media for configuration payload separation policies. According to at least one example, a method is provided for device function. The method includes: during a boot sequence of a network device, generating a unique key for encrypting and decrypting data; identifying a secure location in the network device for storing the unique key; storing the unique key in the secure location; encrypting a configuration payload with the unique key; storing the encrypted configuration payload in an external non-volatile memory; and, in response to a request to access data within the configuration payload, decrypting the encrypted configuration payload using the unique key.

Abstract: Systems, methods, and computer-readable media are disclosed for validating a machine learning model. In one aspect, a machine learning model validation system can receive a test machine learning model, analyze an output of the test machine learning model, determine a degree of similarity between the test machine learning model and one or more machine learning models stored in a database based on the output of the test machine learning model, and determining whether the test machine learning model complies with a set of validation rules based on the degree of the similarity with respect to one or more thresholds.

Abstract: In one embodiment, a device provides, to a user interface, a timeseries for display of a probability over time of a network path violating a service level agreement (SLA) associated with an online application. The device receives, from the user interface, a plurality of thresholds for the timeseries that define periods of time during which application experience of the online application is believed to be degraded. The device trains, based on the plurality of thresholds, a machine learning model to predict when the application experience of the online application will be degraded. The device causes a predictive routing engine to reroute traffic of the online application based on a prediction by the machine learning model that the application experience of the online application will be degraded.

Abstract: Techniques for improved wireless reliability are provided. It is determined that a client device is at least one of an augmented reality (AR) or a virtual reality (VR) device. A default set of retry parameters and a second set of retry parameters are determined, where the second set of retry parameters are more robust than the default set of retry parameters. Data is transmitted to the client device using the second set of retry parameters.

Abstract: Systems and methods are provided for receiving, at a network device, a first set of rules from a security controller of an enterprise network, the first set of rules being different from a second set of rules provided to a firewall by the security controller, implementing, at the network device, the first set of rules received from the security controller, generating, at the network device, a first log including metadata based on the first set of rules, the first log being generated on a per flow basis, notifying, at the network device, a NetFlow of the first log including the metadata of the first set of rules, and providing, from the network device, the first log to a cloud-log store by the NetFlow of the network device, the cloud-log store receiving the first log from the network device and a second log from the firewall.

Abstract: Presented herein are techniques for augmenting a speech recognition engine. According to the disclosed techniques, audio data is obtained as part of an automatic speech recognition session. Speech hints are also obtained as part of the automatic speech recognition session. A dynamic language model is generated from the speech hints for use during the automatic speech recognition session. A combined language model is then generated from the dynamic language model and a static language model. Finally, the audio data is converted to text using the combined language model as part of the automatic speech recognition session.