Abstract:
Presented herein are techniques for automatically creating communities of network-connected devices, i.e., Internet of Thing (IoT) devices. One or more of a plurality of network-connected devices are identified based on one or more policies that define one or more communities of network-connected devices. A community of network-connected devices includes network-connected devices that share common functional, physical or relational attributes. Information is stored that indicates the one or more communities of which each of the one or more of the plurality of network-connected devices is a member based on the policies that define the one or more communities and functional, physical or relational attributes of the one or more of the plurality of network-connected devices.
Abstract:
Power distribution and communications infrastructure for electric appliances and systems of electric appliances. Specifically, an electric appliance includes a housing, a network interface configured to enable network communications, and at least one primary appliance component that is housed within the housing and that performs a primary function of the electric appliance. The electric appliance further includes at least one server that is housed within the housing and includes at least one processor configured to perform one or more data center functions. The electric appliance further includes a power module that supplies power to the at least one primary appliance component that performs the primary function of the electric appliance and that supplies residual power to the at least one server that performs the one or more data center functions.
Abstract:
According to one or more embodiments of the disclosure, a particular networking device located in a ring of networking devices of a network receives an indication from a supervisory service that the particular networking device has been designated a ring manager for the ring of networking devices. The particular networking device determines that the supervisory service is unreachable by the ring of networking devices. The particular networking device obtains telemetry data regarding a new device connected to the ring of networking devices. The particular networking device onboards, based on the telemetry data, the new device to the network, when the supervisory service is unreachable by the ring of networking devices.
Abstract:
A network optimization controller (NOC) performs operations including obtaining, from a secure access service edge (SASE) device executing a security service, a first data set defining a security performance metric provided by the security service, and obtaining, from the SASE, a second data set defining a network performance metric associated with a network device. The operations further include defining a policy based at least in part on the first data set and the second data set, determining if the policy has been violated, and changing a first access modality provided for the network device to access an end host to a second access modality based at least in part on the policy being violated. The first access modality and the second access modality define different methods of access to the end host.
Abstract:
In one embodiment, a device obtains telemetry data regarding a plurality of traffic flows in a network. The device forms a directed graph based on the telemetry data, wherein nodes of the graph represent devices in the network. The device simulates traffic for one or more of the devices by performing random walks starting at a particular node on the directed graph to generate a set of trails, each trail representing a sequence of one or more flows. The device clusters the set of trails to form one or more clusters. The device generates an application fingerprint for an application based on one of the one or more clusters. The device uses the application fingerprint to identify traffic in the network as associated with the application.
Abstract:
A plurality of data sets are compiled in a memory. A first data set comprises a location mapping of an item of interest within a predetermined environment, and a second set comprises energy usage data within the predetermined environment. The first data set is correlated, via a processor, with the second data set to locate a subset of energy usage data in the second data set associated with the item of interest. A third data set is generated by combining the first data set with the subset of energy usage data in the second data set to increase an accuracy of the location mapping of the item of interest based upon the subset of energy usage data. The third data set is applied to a computing resource.
Abstract:
In one embodiment, a processor receives data indicative of a plurality of conversations involving a primary user. The processor identifies a subset of the plurality of conversations that are regarding a particular topic. The processor adds a conversation to the subset based on a match between one or more keywords in the conversation matching a list of keywords associated with the particular topic. The processor uses a machine learning-based model to identify one or more context characteristics of the conversations in the identified subset. The processor updates the subset of conversations by adding at least one of the conversations to the subset based on the at least one conversation having at least one context characteristic identified by the machine learning-based model. The processor provides data indicative of the updated subset of conversations to a user interface for review by the primary user.
Abstract:
An example method for identifying and reporting a space or individual that has been exposed to an infectious disease includes identifying sensor data related to one or more individuals in a space; determining, based on the sensor data, that a particular individual among the one or more individuals is infected with an infectious disease; generating a report requesting that the space be disinfected; and outputting the report to a computing device.
Abstract:
In one embodiment, a supervisory device in a network, configured to interact with one or more sensors positioned in a given area and with a conference room scheduling service, obtains an acoustic feature of the area from one or more of the sensors. The supervisory device makes a determination that a conference room should be reserved based on the acoustic feature and selects a particular conference room based on the determination that a conference room should be reserved. The supervisory device instructs a conference room scheduling service to reserve the particular conference room.
Abstract:
Presented herein are techniques for automatically creating communities of network-connected devices, i.e., Internet of Thing (IoT) devices. One or more of a plurality of network-connected devices are identified based on one or more policies that define one or more communities of network-connected devices. A community of network-connected devices includes network-connected devices that share common functional, physical or relational attributes. Information is stored that indicates the one or more communities of which each of the one or more of the plurality of network-connected devices is a member based on the policies that define the one or more communities and functional, physical or relational attributes of the one or more of the plurality of network-connected devices.