Abstract: Networking device serviceability may be provided. A networking device may be disposed in a rack between uprights. The networking device may comprise a first plurality of switch bars each comprising a first switch type arranged parallel to one another, a second plurality of switch bars each comprising a second switch type arranged parallel to one another, and a third plurality of switch bars each comprising a third switch type arranged parallel to one another. The first plurality of switch bars, the second plurality of switch bars, and the third plurality of switch bars may be arranged orthogonally. A hinge device associated with the networking device may be configured to allow the networking device to rotate at least a predetermined angle value from a first position between the uprights to a second position where both the first plurality of switch bars and the second plurality of switch bars are clear from the uprights.

Abstract: In one embodiment, a method includes delivering power, data, and cooling from a central network device to a plurality of remote communications devices over cables connecting the central network device to the remote communications devices, each of the cables carrying said power, data, and cooling, and receiving at the central network device, power and thermal data from the remote communications devices based on monitoring of power and cooling at the remote communications devices. The remote communications devices are powered by the power and cooled by the cooling delivered from the central network device. An apparatus is also disclosed herein.

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: In one embodiment, a device obtains sensor data indicative of three dimensional (3-D) orientations of primary and secondary wireless power transfer (WPT) charging coils. The secondary coil is mounted to a vehicle and the primary coil provides charge to the secondary coil during charging. The device detects misalignment between the primary and secondary WPT coils based on the sensor data. The device determines a coil alignment correction to offset the detected misalignment. The device sends control commands to one or more actuators to implement the coil alignment correction by moving one or more of the coils, either directly (e.g., via directly-coupled actuators) or indirectly (e.g., via the suspension of a vehicle).

Abstract: Techniques for accelerated Time series analysis (TSA) in a network are described. Packets from a first network flow at a network element, such as a switch or a router, are trapped using a hardware based TSA engine at the network element. The packets are then reduced into TSA tuples including TSA data points and stored into memory. A software based TSA module performs one or more TSA actions on the stored tuples, where the TSA actions produce analysis results used to determine network performance for the network and network based applications.

Abstract: Power supply for a networking device may be provided. The networking device may comprise a first plurality of switch bars each comprising a first switch type arranged parallel to one another and a second plurality of switch bars each comprising a second switch type arranged parallel to one another. The first plurality of switch bars and the second plurality of switch bars may be arranged orthogonally. A first plurality of power supplies may be fed by a first source. A second plurality of power supplies may be fed by a second source. Respective ones of a first portion of the first plurality of power supplies feed first respective pairs of the first plurality of switch bars and respective ones of a first portion of the second plurality of power supplies feed second respective pairs of the first plurality of switch bars. The first respective pairs of the first plurality of switch bars may be different from the second respective pairs of the first plurality of switch bars.

Abstract: Meta behavioral analytics techniques include, at one or more network devices that are operatively coupled to a plurality of behavioral analytics systems associated with a network or system, monitoring data outputs of the plurality of behavioral analytics systems that are representative of activity in the network or system. The one or more network devices correlate the data outputs from two or more of the plurality of behavioral analytics systems that are dedicated to analyzing different subject matter domains. Additionally, based on the correlating, the one or more network devices detect a previously unidentified condition in (a) the network or system; or (b) one of the plurality of behavioral analytics systems.

Abstract: A networking device with orthogonal switch bars may be provided. The networking device may comprise a first plurality of switch bars comprising leaf switches arranged parallel to one another. In addition, the networking device may comprise a second plurality of switch bars comprising top of pod switches arranged parallel to one another. Furthermore, the networking device may comprise a third plurality of switch bars comprising top of fabric switches arranged parallel to one another. The first plurality of switch bars, the second plurality of switch bars, and the third plurality of switch bars may be arranged mutually orthogonally. The first plurality of switch bars may be adjacent to and connected to the second plurality of switch bars and the second plurality of switch bars may be adjacent to and connected to the third plurality of switch bars.

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: In one embodiment, a battery backup unit (BBU) cut-off and recharge circuit includes: a first transistor, a power entry connection connected to a main power supply, where power from the power entry connection flows to application circuits for an electronic device, and the first transistor is positioned between a BBU and the power entry connection, and a microcontroller, where the microcontroller is operative to: detect a loss of power from the main power supply, turn on the first transistor to enable the BBU to discharge through the power entry connection to application circuits, detect a status of charge (SOC) for the BBU, and upon detecting that the SOC is under a predefined threshold, set the BBU cut-off and recharge circuit to a lockdown state by turning off the first transistor.

Abstract: In one embodiment, a device in a network intercepts a Domain Name System (DNS) query sent by a node in the network to a DNS service. The device inserts metadata information about the node into the DNS query before sending the DNS query on to the DNS service. The device extracts policy information regarding the node from a DNS response sent from the DNS service back to the node in response to the DNS query. The device implements a network policy for the node within the network based on the policy information extracted from the DNS response.

Abstract: In one embodiment, a battery backup unit (BBU) cut-off and recharge circuit includes: a first transistor, a power entry connection connected to a main power supply, where power from the power entry connection flows to application circuits for an electronic device, and the first transistor is positioned between a BBU and the power entry connection, and a microcontroller, where the microcontroller is operative to: detect a loss of power from the main power supply, turn on the first transistor to enable the BBU to discharge through the power entry connection to application circuits, detect a status of charge (SOC) for the BBU, and upon detecting that the SOC is under a predefined threshold, set the BBU cut-off and recharge circuit to a lockdown state by turning off the first transistor.

Abstract: In one embodiment, a system includes a central hub comprising a power source, a data switch, a coolant system, and a management module, a plurality of network devices located within an interconnect domain of the central hub, and at least one combined cable connecting the central hub to the network devices and comprising a power conductor, a data link, a coolant tube, and a management communications link contained within an outer cable jacket.

Abstract: In one embodiment, a classification device in a computer network analyzes data from a given device in the computer network, and classifies the given device as a particular type of device based on the data. The classification device may then determine whether a manufacturer usage description (MUD) policy exists for the particular type of device. In response to there being no existing MUD policy for the particular type of device, the classification device may then determine patterns of the analyzed data, classify the patterns into context-based policies, and generate a derived MUD policy for the particular type of device based on the context-based policies. The classification device may then apply one of either the existing or derived MUD policy for the given device within the computer network.

Abstract: In one embodiment, a device in a network receives a set of sensor data from a plurality of sensors deployed in a location. The device determines a physical layout for furnishings in the location based on the received set of sensor data. One or more of the furnishings is equipped with one or more actuators configured to move the equipped furnishing in one or more directions. The device generates an instruction for the one or more actuators of a particular one of the furnishings based on the determined physical layout for the furnishings. The device sends the instruction to the one or more actuators of the particular furnishing, to implement the determined physical layout.

Abstract: A method is performed by a first fog node of a plurality of fog nodes. In some implementations, the first fog node includes a non-transitory memory and one or more processors coupled with the non-transitory memory. In some implementations, the method includes maintaining a distributed ledger in coordination with the remaining fog nodes of the plurality of fog nodes. In some implementations, the distributed ledger stores configuration information associated with one or more devices. In some implementations, the method includes obtaining a request for configuration information from a device that breaches a resource threshold associated with the distributed ledger. In some implementations, the method includes transmitting, to the device, the configuration information associated with the device in order to allow the device to be configured in accordance with the configuration information while the device breaches the resource threshold associated with the distributed ledger.

Abstract: In one embodiment, a system includes a central hub comprising a power source, a data switch, a coolant system, and a management module, a plurality of network devices located within an interconnect domain of the central hub, and at least one combined cable connecting the central hub to the network devices and comprising a power conductor, a data link, a coolant tube, and a management communications link contained within an outer cable jacket.

Abstract: Techniques for accelerated Time series analysis (TSA) in a network are described. Packets from a first network flow at a network element, such as a switch or a router, are trapped using a hardware based TSA engine at the network element. The packets are then reduced into TSA tuples including TSA data points and stored into memory. A software based TSA module performs one or more TSA actions on the stored tuples, where the TSA actions produce analysis results used to determine network performance for the network and network based applications.

Abstract: Presented herein are methodologies to on-board and monitor Internet of Things (IoT) devices on a network. The methodology includes receiving at a server, from a plurality of IoT devices communicating over a network, data representative of external environmental factors being experienced by individual ones of the plurality of IoT devices at a predetermined location; generating, using machine learning, an aggregated model of the external environmental factors at the predetermined location; receiving, at the server, a communication indicative that a new IoT device seeks to join the network at the predetermined location; receiving, from the new IoT device, data representative of external environmental factors being experienced by the new IoT device; determining whether there is a discrepancy between the external environmental factors of the new IoT device and the aggregated model; and when there is such a discrepancy, prohibiting the new IoT device from joining the network.