Abstract: There is provided a method for detecting an anomaly in plurality of data streams originating from a system or network of systems. Data streams are collected from the system or systems and divided into a plurality of time intervals. For each of the plurality of time intervals, a value for a parameter associated with the data stream is determined. A deviation in the determined values is calculated for the parameters associated with the data stream from expected values for the parameters and, if the calculated deviation is above a threshold, an anomaly is detected in the collected data stream.

Abstract: There is provided a method for detecting an anomaly in plurality of data streams originating from a system or network of systems. Data streams are collected from the system or systems and divided into a plurality of time intervals. For each of the plurality of time intervals, a value for a parameter associated with the data stream is determined. A deviation in the determined values is calculated for the parameters associated with the data stream from expected values for the parameters and, if the calculated deviation is above a threshold, an anomaly is detected in the collected data stream.

Abstract: A system may include a device that receives requests to initiate a videoconference call. The requests may include an indication of a service priority tier that should be applied to the call and first and second client devices for the call. The system may determining bandwidth availability in a network and determine, based on the bandwidth availability and based on the indication of the service priority tier of the call, whether to admit the videoconference call to the network. The device may provision, when it is determined to admit the call to the network, traffic policies corresponding to one or more network devices, where the policies are determined based on the service priority tier of the videoconference call.