Abstract:
In one embodiment, a particular autonomous system border router (ASBR), in a control-plane media access control (MAC) learning (CPML) network, discovers other ASBRs in the CPML network, the particular ASBR and other ASBRs interconnected with respective ASBRs of a data-plane MAC learning (DPML) network. The particular ASBR calculates one or more internal shortest path first (SPF) trees rooted respectively at each of the other ASBRs in the CPML network, and upon receiving a MAC advertisement route for a given MAC address with a given next-hop IP address, it may determine a distance from the particular and each other ASBR in the CPML network to the given IP address based on the internal SPF trees. In response to the distance from the particular ASBR being shorter than the distance from each other ASBR, the particular ASBR is designated as a designated forwarder (DF) for traffic sourced from the given MAC address.
Abstract:
In one embodiment, a particular PE device of a plurality of multi-homing PE devices between a core network and a local network determines a subset of traffic for which the particular PE device is responsible. The particular PE also establishes, with itself as root, a multicast tree within the local network for underlay multicast groups. Traffic received at the particular PE from the core network is admitted into the local network only if the core traffic corresponds to the subset of traffic for which the particular PE device is responsible (and mapped into one of the underlay multicast groups for which the particular PE device is the root). Also, multicast traffic received at the particular PE from the local network is forwarded into the core network only if the multicast traffic corresponds to the subset of traffic for which the particular PE device is responsible.
Abstract:
In one embodiment, a particular maintenance end-point (MEP) transmits, during a joining phase, one or more join announcement messages (JAMs) to other MEPs in a network. The one or more JAMs request addition of the particular MEP without generation of a first alarm. The particular MEP transmits, during an operational phase, continuity check messages (CCMs) to the other MEPs in the network. Alarm generation is active during the operational phase. The particular MEP transmits, during a leaving phase, one or more leave announcement messages (LAMs) to the other MEPs in the network. The one or more LAMs request removal of the particular MEP without generation of a second alarm.
Abstract:
In one embodiment, a first device identifies a region of interest in video in which a light source of a second device is present by: using a current frame of the video and a prior frame of the video to compute a difference frame, performing thresholding on the current frame to form a threshold frame, and performing pixel-wise conjunction operations between the difference frame and the threshold frame, to identify a centroid of the light source of the second device. The first device detects a message within the region of interest transmitted by the second device via its light source. The device provides the message for review by a user.
Abstract:
The present technology includes calculating the 3-D RF propagation pattern in a space for at least one Wi-Fi access point and displaying a visualization of the RF propagation pattern in augmented reality (AR). The augmented reality view of the space can be created by capturing at least one image of the space and displaying at least one image of the space on a display with the visualization of the Wi-Fi access point RF propagation pattern on the display overlaid at least one image of the space. The disclosed technology further can calculate the RF propagation properties and render a visualization of the RF propagation patterns in a 3D space by utilizing hardware on a user device. The AR display is useful in visualizing, in-person aspects of a Wi-Fi network and coverage, and can be used in troubleshooting, maintenance, and simulations of equipment variations.
Abstract:
The present technology is directed to visualizing a Wi-Fi access point radio frequency (RF) propagation pattern based on telemetry data over time. The present technology can receive telemetry data for a Wi-Fi network of a building plan in a Wi-Fi visualization system, store the telemetry data with a timestamp, determine a RF propagation pattern in a 3-D space for at least one Wi-Fi access point in the Wi-Fi network, present a user interface including a time slider to facilitate manipulation of a time axis between the first timestamp and the second timestamp, and present a visualization of the RF propagation pattern based on an indication of the time slider.
Abstract:
The present disclosure is directed to 3-D visualization of wireless signal propagation representing wireless signal strength and interference in 3-D space. The present technology can identify a plurality of access points (APs) in the 3-D space, determine a wireless signal strength for each of the plurality of APs, and determine an interference with the wireless signal strength of each of the plurality of APs, wherein the interference is caused by a neighboring AP of the plurality of APs in the 3-D space. The present technology can further present a 3-D visualization of a wireless signal propagation pattern representing the wireless signal strength from each of the plurality of APs in the 3-D space and the interference from the neighboring AP.
Abstract:
The present technology addresses a need in the art for an automated tool that allows users to create network-based custom workflows for networks and associated management applications. The users do not need to have in-depth network knowledge to work with the tool or even write any code/script. The tool provides the users with a flexible graphical user interface for automated troubleshooting, network provisioning, and closed-loop automation. Further, the tool uses a domain-independent semantic machine reasoning engine as an underlying engine and a mock data engine to test and validate network-based workflows created by the users.
Abstract:
The present technology addresses a need in the art for a closed-loop automation system of a managed network that detects and fixes an issue in the managed network with minimal to no human intervention. The closed-loop automation system employs a domain-independent semantic machine reasoning engine as an underlying engine. After detecting the issue in the managed network, the system searches through a knowledge base to find a match for the detected issue. The knowledge base includes previously collected knowledge from subject matter experts and maintenance teams. The system then proposes a remedial action to a user of the managed network for approval. After approval by the user, the system implements the remedial action.
Abstract:
An aspect of the present disclosure aims to reduce problems associated with data acquisition of a rule set. Systems and methods enabling a semantic reasoner to stage acquisition of data objects necessary to bring each of the rules stored in the knowledge base to a conclusion are disclosed. To that end, a dependency chain is constructed, identifying whether and how each rule depends on other rules. Based on the dependency chain, the rules are assigned to difference epochs and reasoning engine is configured to perform machine reasoning over rules of each epoch sequentially. Moreover, when processing rules of each epoch, data objects referenced by the rules assigned to a currently processed epoch are acquired according to a certain order established based on criteria such as e.g. cost of acquisition of data objects. Such an approach provides automatic determination and just-in-time acquisition of data objects required for semantic reasoning.