Abstract: In one embodiment, a device obtains an indication of a network event predicted by a routing engine for a network. The device initiates monitoring of one or more network paths associated with the network event, to determine one or more states of the network. The device makes a comparison between the one or more states of the network and a set of one or more constraints. The device provides a prediction cancelation notification to the routing engine, based on the comparison.

Abstract: In one embodiment, a method herein comprises: establishing, by a process, a virtual private network connection (VPN connection) with a particular VPN gateway; requesting, by the process, observability monitoring through the particular VPN gateway, wherein requesting results in a controller being informed about the particular VPN gateway and a domain of the particular VPN gateway; receiving, by the process, test specifics from the controller based on the particular VPN gateway and the domain of the particular VPN gateway; and executing, by the process, one or more tests to the particular VPN gateway based on the test specifics.

Abstract: In one embodiment, a device obtains a first set of measurements of a path metric for a path in a network that are measured using periodic probing of the path. The device obtains a second set of measurements of the path metric for the path that are measured using fine-grained probing of the path at a higher frequency than that of the periodic probing. The device generates a predictive model that predicts values of the path metric, based on the first set of measurements and on the second set of measurements. The device causes, based on a value of the path metric predicted by the predictive model, traffic to be rerouted from the path to another path in the network.

Abstract: Aspects of the invention are directed towards a system and a method for sensing temperature of an item and displaying temperature thereof. One or more embodiments of the invention describe the method comprising steps of sensing, by a metal crimp coupled with a sensor, a temperature of content inside an item and determine a value of the temperature. The method further describes step of displaying an indication of the temperature value on an electrochromic strip coupled with the sensor.

Abstract: In one embodiment, the device obtains telemetry data for traffic between endpoints in a plurality of local networks and an online application, the telemetry data including local interface data regarding local interfaces used by the endpoints to access the online application and data indicative of which points of presence (PoPs) were traversed by the traffic. The device identifies sessions of the online application in which an application experience metric was degraded. The device determines a root cause of the application experience metric being degraded for the sessions by assessing the telemetry data associated with the sessions. The device provides the root cause to a user interface for presentation.

Abstract: In one embodiment, a device computes, for each of a set of points of presence (PoPs) via which traffic for an online application can be sent from a location, application experience metrics predicted for the application over time. The device assigns, for each of the set of PoPs, weights to different time periods, based on measures of uncertainty associated with the predicted application experience metrics. The device generates, based on the weights assigned to the different time periods for each of the set of PoPs, schedules for probing network paths connecting the location to the online application via those PoPs. The device causes the network paths to be probed in accordance with their schedules. Results of this probing are used to select a particular PoP from among the set of PoPs via which traffic for the online application should be sent from the location during a certain time period.

Abstract: In one embodiment, a device generates an application map for an online application accessed via a network that indicates a set of network addresses at which the online application was accessed, client information for clients that accessed the online application via the network, and quality of experience metrics for the online application. The device identifies a location change of the online application by tracking changes to the application map. The device determines a correlation between the location change and a degradation in the quality of experience metrics. The device adjusts, based on the correlation, routing of traffic associated with the online application in the network.

Abstract: The present disclosure relates to a communication method and system for converging a 5th-Generation (5G) communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. Embodiments herein disclose a method for grouping of paging for multiple UEs in a paging occasion in a wireless network (1000) by an AMF entity (300). The method includes determining paging sub-group information to be allocated to a UE (100) based on characteristics of the UE (100). Further, the method includes allocating the paging sub-group information to the UE (100) for paging.

Abstract: In one embodiment, a device computes time series dynamics for a performance metric of a path in a network used to convey traffic for an online application. The device matches those time series dynamics to one or more dynamics categories. The device makes a determination as to whether the path in the network is anomalous, based on the one or more dynamics categories. The device provides, based on the determination, an indication that the path in the network is anomalous for display.

Abstract: A method for managing voice-based interaction in an Internet of things (IoT) network system is provided. The method includes identifying a first voice utterance from a first IoT device among a plurality of IoT devices in the IoT network system. Further, the method includes identifying at least one second voice utterance from at least one second IoT device among the plurality of IoT devices in the IoT network system. Further, the method includes determining a voice command by combining the first voice utterance and the at least one second voice utterance. Furthermore, the method includes triggering at least one IoT device among the plurality of IoT devices in the IoT network system to perform at least one action corresponding to the voice command.

Abstract: A method and system for determining whether a consensus has been achieved for adding a block to a distributed ledger. The system receives a candidate block to add to the distributed ledger and receives block approvals of approving participants for the candidate block. The system calculates a total block approval stake that the approving participants have in the distributed ledger. The system identifies a total stake that participants have in the distributed ledger. When the total block approval stake is at least a threshold fraction of the total skate, the system indicates that the consensus has been achieved for adding the candidate block to the distributed ledger.

Abstract: The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. Embodiments herein disclose methods for managing power saving for an XR service in a wireless network by a UE. The method includes receiving a radio bearer configuration comprising an identifier field. Further, the method includes determining whether the received radio bearer configuration includes an “isXR bearer” field as the identifier field.

Abstract: In one embodiment, a device generates a plurality of smoothed timeseries by applying smoothing envelopes of different durations to a timeseries of a path metric for a path in a network that is used to convey traffic of an online application. The device uses the plurality of smoothed timeseries and the timeseries of the path metric to make predictions as to whether the path will provide an unacceptable user experience in the online application. The device selects a smoothing envelope of a particular duration, by comparing performance metrics for the predictions. The device uses a timeseries of the path metric smoothed using the smoothing envelope of the particular duration to make predictive routing decisions in the network for the traffic of the online application.

Abstract: A method of detecting and locating a fluid leakage in a fluid pipeline network includes providing a plurality of sensors in an area of the pipeline network. Each sensor is configured to output data relating to an acoustic or vibration measurement associated with a part of the pipeline network proximate said sensor. The method further including recording the acoustic or vibration measurement output data, transforming the output data from a time domain to a frequency domain, determining a leakage condition, computing a sum value of the measured frequency values and associating said sum value with a corresponding sensor of the plurality of sensors, and locating a source of the fluid leakage by identifying one or more sensor(s) of the plurality of sensors in the area of the pipeline network that is closest to the source of the fluid leakage.

Abstract: A memory device includes a plurality of select lines, a plurality of word lines, an array of memory cells, a bitline, and a resistance device. The array of memory cells includes multiple rows and multiple columns. The bitline is structured to receive a current in a read operation, causing a value stored in a selected memory cell to be readable when a select line and a word line that interest the selected memory cell are selected. The resistance device has a first terminal and a second terminal. The first terminal is coupled to the select lines, and the second terminal is coupled to ground. The resistance device is structured to bias, in the read operation, word lines of unselected memory cells in a column of a selected memory cell to a determined negative voltage.

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: In one embodiment, a device identifies a plurality of online applications whose traffic is conveyed via an interface of a networking entity of a network. The device computes a relationship between a quality of experience metric for a particular online application in the plurality of online applications and a traffic volume associated with the interface for the plurality of online applications. The device makes, based on the relationship, a determination that degradation of the quality of experience metric for the particular online application is due to the traffic volume associated with the interface for the plurality of online applications. The device reconfigures, based on the determination, the networking entity to prioritize traffic for the particular online application.

Abstract: In one embodiment, a device generates an application map for an online application accessed via a network that indicates a set of network addresses at which the online application was accessed, client information for clients that accessed the online application via the network, and quality of experience metrics for the online application. The device identifies a location change of the online application by tracking changes to the application map. The device determines a correlation between the location change and a degradation in the quality of experience metrics. The device adjusts, based on the correlation, routing of traffic associated with the online application in the network.

Abstract: In one embodiment, a device identifies peaks of a timeseries of a path metric used to predict performance of a path in a network. The device determines one or more characteristics of the peaks of the timeseries. The device computes, based on the one or more characteristics of the peaks, a measurement frequency for the path metric. The device causes the path metric to be measured in the network according to the measurement frequency.

Abstract: In one embodiment, a device discovers one or more network interfaces that an endpoint in a local network could use to access an online application. The device identifies a plurality of connectivity options available to the endpoint to access the online application via an external network. The device makes a prediction that a path that comprises a particular connectivity option from among the plurality of connectivity options and a particular network interface from among the one or more network interfaces will provide an optimal quality of experience metric associated with the online application. The device causes the endpoint to use the path to connect to the online application.