Abstract: In one embodiment, a device obtains content data provided by a social media platform to a user of the social media platform. The social media platform selects the content data for the user based on a behavioral model of the user. The device maintains an artificial intelligence-based model that models associations between the content data and interaction data indicative of interactions between the user and the social media platform. The device selects, using the artificial intelligence-based model, an obfuscation action to lower an accuracy of the behavioral model of the user, based on one or more configuration parameters set by the user. The device initiates performance of the obfuscation action.

Abstract: Techniques for edge cloud identification. An indication of edge clouds is received. Each edge cloud is uniquely identifiable via an associated edge cloud identifier. A characteristic is received from each of the edge clouds. An edge cloud for communication is determined based on the characteristic. The edge cloud is communicated with using its associated edge cloud identifier.

Abstract: Disclosed is a system and method of providing a segment routing as a service application. The method includes receiving a configuration of an internet protocol environment. The configuration can be a layer 3 configuration of a single cloud environment or even across multiple cloud environments. The configuration defines routing, forwarding, and paths in the environment between different entities such as virtual machines. The method includes receiving a parameter associated with a workload of a tenant. The parameter can be a service level agreement (i.e., a best bandwidth available), a pathway requirement, a parameter associated with specific workload, and so forth. Based on the configuration and the parameter, the method includes generating tenant-defined layer 3 overlay segment routing rules that define how the workload of the tenant will route data in the internet protocol environment using segment routing.

Abstract: Aggregated health information for a managed network may be retrieved and processed in response to changes to the managed network topology, configuration, or software. In response to receiving notification that a change to a component of the managed network has occurred, a change audit analysis engine can retrieve performance indicator information from components along a traceroute including the component which underwent the change. The retrieved performance indicator information can be processed by a memory based neural network to predict an impact of the change on the aggregated health of the managed network. The predicted impact can be compared to network health information retrieved through an ongoing basis and issues can be determined based on a comparison of the predict impact and the retrieved health information.

Abstract: A system and method for creating a context-aware, conversational chat bot or agent in multi-party conversations where participants have different levels of security access to information and the bot operates in one or more modes depending on the business context of the multi-user collaboration virtual workspace. The methods include adding a bot, as a participant, to a virtual workspace that is a multi-user collaboration workspace, obtaining, at a bot application server, context of the virtual workspace, setting, by the bot application server, a skill set for the bot from among a plurality of skill sets. The skill set varies based on the context of the virtual workspace. The methods further include configuring, by the bot application server, the bot to perform at least one task in the virtual workspace based on the skill set.

Abstract: Techniques and architecture for determining compliance of a network with respect to a network design solution. The techniques may include determining a role for each network device of a network that comprises multiple network devices and determining one or more policies related to each network device with respect to other network devices of the network. The techniques may further include based at least in part on the roles for each network device and the one or more policies, determining a level of compliance of a configuration of the network with respect to a network design solution. Based at least in part on the level of compliance, a remedial action may be performed. In configurations, a machine learning model may be used.

Abstract: Embodiments herein describe association rules (e.g., affinity and anti-affinity rules) that a wireless device can use to optimize its performance in a Wi-Fi network. While BSS coloring is typically used to eliminate color collisions, the embodiments herein use BSS coloring to define what BSS colors should be on the same channel and which should not. For example, an affinity rule can indicate that a wireless device assigned a first BSS color (e.g., red) can share the same channel with wireless devices (or BSSs) assigned a second BSS color (e.g., green). In contrast, an anti-affinity rule can indicate that a wireless device in the red BSS color cannot share a channel with a wireless device assigned to a third BSS color (e.g., blue). The embodiments herein permit the wireless devices to be grouped with, or separated from, wireless devices having different BSS colors.

Abstract: In one embodiment, a supervisory service for a wireless network obtains frequency-time Doppler profile information for an endpoint node attached to a first access point in the wireless network. The supervisory service uses the frequency-time Doppler profile information for the endpoint node as input to a machine learning model. The machine learning model is trained to output an action for the endpoint node with respect to the wireless network. The supervisory service causes the action for the endpoint node with respect to the wireless network to be performed.

Abstract: Aggregated health information for a managed network may be retrieved and processed in response to changes to the managed network topology, configuration, or software. In response to receiving notification that a change to a component of the managed network has occurred, a change audit analysis engine can retrieve performance indicator information from components along a traceroute including the component which underwent the change. The retrieved performance indicator information can be processed by a memory based neural network to predict an impact of the change on the aggregated health of the managed network. The predicted impact can be compared to network health information retrieved through an ongoing basis and issues can be determined based on a comparison of the predict impact and the retrieved health information.

Abstract: Embodiments herein receive a request to reserve a fog computing resource for an end device, where the request includes a specified future time at which the fog computing resource will be used by the end device. It is determined that sufficient fog computing resources are available at the specified future time on a first fog node of a plurality of fog nodes. The fog computing resource of the first fog node is reserved for the specified future time, and an address corresponding to the first fog node is transmitted.

Abstract: In one embodiment, a device receives data regarding a wireless client attempting to form an association with a particular wireless access point in a network. The device queries a blockchain ledger in a blockchain database for wireless roaming data regarding the wireless client. The device uses, when available from the blockchain ledger, the roaming data regarding the wireless client to complete the association between the wireless client and the particular wireless access point. The device updates the blockchain ledger with data regarding the association between the wireless client and the particular wireless access point.

Abstract: In one embodiment, an apparatus includes a multi-socket motherboard, a processor connected to a first socket on the multi-socket motherboard, and an RDMA (Remote Direct Memory Access) interface module connected to a second socket on the multi-socket motherboard and in communication with the processor over a coherency interface. The RDMA interface module provides an inter-server interface between servers in an RDMA domain. A method for transferring data between servers with RDMA interface modules is also disclosed herein.

Abstract: A packet is received at a device configured to provide a service function within a network service chain. A network overlay and/or segmentation identifier is extracted from a header of the packet. The service function is applied to the packet according to policies specific to a network overlay and/or segmentation identified in the network overlay and/or segmentation identifier.

Abstract: Embodiments herein describe association rules (e.g., affinity and anti-affinity rules) that a wireless device can use to optimize its performance in a Wi-Fi network. While BSS coloring is typically used to eliminate color collisions, the embodiments herein use BSS coloring to define what BSS colors should be on the same channel and which should not. For example, an affinity rule can indicate that a wireless device assigned a first BSS color (e.g., red) can share the same channel with wireless devices (or BSSs) assigned a second BSS color (e.g., green). In contrast, an anti-affinity rule can indicate that a wireless device in the red BSS color cannot share a channel with a wireless device assigned to a third BSS color (e.g., blue). The embodiments herein permit the wireless devices to be grouped with, or separated from, wireless devices having different BSS colors.

Abstract: Certain aspects of the present disclosure are generally directed to version-aware service function chaining. One example method generally includes determining version information corresponding to one or more of a plurality of network functions to be performed for a packet for a service function chain (SFC) and encapsulating a service header in the packet for the SFC, the service header indicating the plurality of network functions to be performed for the packet and the version information corresponding to the one or more network functions. In certain aspects, the method also includes sending the packet to one or more service nodes for performing the plurality of network functions in accordance with the service header.

Abstract: A system for switching from a first communication session between two endpoints to a secondary communication session when media degradation is detected is disclosed. A first endpoint is included within a first enterprise network and a second endpoint is included within a second enterprise network. The first enterprise network includes a call controller and a plurality of session border controllers (SBCs). The SBC in the first communication session detects media degradation and notifies the first endpoint of the media degradation. The first endpoint directs the call controller to establish a secondary communication session with the second endpoint when there is sufficient media degradation. The call controller directs a second SBC to establish the secondary communication session with the second endpoint. When the secondary communication session is established, the call controller directs the first endpoint to send media data using the second SBC.

Abstract: Systems, methods, and computer-readable media for orchestrating cloud to fog interactions. In some examples, a method can involve partitioning an application into software containers, each of the software containers being configured to host a respective component of the application. The method can further involve identifying nodes on respective hierarchical layers of a hierarchical cloud-fog architecture for hosting the software containers on the respective hierarchical layers of the cloud-fog architecture. The hierarchical cloud-fog architecture can include one or more cloud layers and one or more fog layers. The method can also involve deploying the software containers at the nodes on the respective hierarchical layers of the cloud-fog architecture.

Abstract: A method includes obtaining performance characterization values from endpoints managed by a first fog node at a first hierarchical level in a hierarchy of fog nodes. The method includes changing a first operating characteristic of the wireless network based on the performance characterization values. The first operating characteristic affects the operation of one or more of the endpoints. The method includes transmitting a portion of the performance characterization values to a second fog node at a second hierarchical level in the hierarchy of fog nodes. The method includes changing a second operating characteristic of the wireless network based on an instruction from the second fog node. The second operating characteristic affects the operation of the first fog node and/or other fog nodes at the first hierarchical level. Changing one or more of the first operating characteristic and the second operating characteristic satisfies an operating threshold for the wireless network.

Abstract: Techniques for establishing network quality of service for an internet of things device are described. A manufacturer usage description identifier relating to the internet of things device is received. The internet of things device is coupled to a communication network. Quality of service parameters relating to the internet of things device and the communication network are determined based on the manufacturer usage description identifier. The quality of service parameters are provided to a network policy controller. The network policy controller is configured to establish a quality of service for the internet of things device on the communication network based on the one or more quality of service parameters.

Abstract: Certain aspects of the present disclosure provide a method for managing network operations. The method generally includes selecting an edge cloud of a plurality of edge clouds to be used for performing one or more network operations for at least one endpoint device. In certain aspects, the selection may be based on an indication of at least one of an amount of available resources or capabilities associated with each of the plurality of edge clouds. In certain aspects, the method also includes configuring the edge cloud to perform the one or more network operations based on the selection.