A method of detecting transient changes in the distribution of a discrete time series includes: operating in a sparse mode wherein, at sniff periods successively repeated at a first rate, at most K test phases are performed, K being an integer superior or equal to two, each test phase consisting of analyzing, by a sampling stopping time determination unit, samples of the time series captured by a sampler at sampling times according to a second rate which is higher than the first rate to provide a positive or negative result of the test phase. If the results of K successive test phases of a sniff period are each positive, the method switches to operate in a dense mode wherein the sampler is operated to continuously capture samples of the time series at sampling times according to the second sampling rate.

A device may receive information associated with a service chain to be implemented in association with a flow. The information associated with the service chain may include a source network address associated with the flow, a destination network address associated with the flow, a set of protocols associated with the flow, and a set of network services, of the service chain, to be implemented in association with the flow. The device may implement the service chain in association with the flow. The device may receive network traffic information associated with the flow based on implementing the service chain in association with the flow. The device may modify the service chain based on the network traffic information associated with the flow to permit a modified service chain to be implemented in association with the flow.

A device may receive information associated with a service chain to be implemented in association with a flow. The information associated with the service chain may include a source network address associated with the flow, a destination network address associated with the flow, a set of protocols associated with the flow, and a set of network services, of the service chain, to be implemented in association with the flow. The device may implement the service chain in association with the flow. The device may receive network traffic information associated with the flow based on implementing the service chain in association with the flow. The device may modify the service chain based on the network traffic information associated with the flow to permit a modified service chain to be implemented in association with the flow.

A processing system may obtain a first sampled flow record for a first flow in a network, comprising information regarding selected packets of the first flow, derive, from the first sampled flow record, a data volume and a duration of the first flow, and determine a first flow metric for the first flow that is calculated from the data volume and the duration, where the first flow metric is one of a plurality of flow metrics for a plurality of flows, and where the plurality of flow metrics is determined from the plurality of sampled flow records associated with the plurality of flows. The processing system may then classify the first flow into one of at least two classes, based upon the first flow metric and at least a first flow metric threshold.

A processing system may obtain a first sampled flow record for a first flow in a network, comprising information regarding selected packets of the first flow, derive, from the first sampled flow record, a data volume and a duration of the first flow, and determine a first flow metric for the first flow that is calculated from the data volume and the duration, where the first flow metric is one of a plurality of flow metrics for a plurality of flows, and where the plurality of flow metrics is determined from the plurality of sampled flow records associated with the plurality of flows. The processing system may then classify the first flow into one of at least two classes, based upon the first flow metric and at least a first flow metric threshold.

First and second processors that are in communication with each other are disclosed. The first processor includes a sampling controller, a sampling circuit, and a data flow controller. The sampling controller is configured to receive multiple identifiers and corresponding enable signals associated with data that is to be transmitted to or received from the second processor, and generate an identification signal and a sampling signal based on one of the identifiers and the corresponding enable signal. The sampling circuit is configured to sample multiple data counts to generate corresponding sampled counts based on the identification signal and the sampling signal. The data flow controller is configured to generate a control signal based on the identifiers, the corresponding enable signals, the data counts, and the corresponding sampled counts to control data flow between the first and second processors.

First and second processors that are in communication with each other are disclosed. The first processor includes a sampling controller, a sampling circuit, and a data flow controller. The sampling controller is configured to receive multiple identifiers and corresponding enable signals associated with data that is to be transmitted to or received from the second processor, and generate an identification signal and a sampling signal based on one of the identifiers and the corresponding enable signal. The sampling circuit is configured to sample multiple data counts to generate corresponding sampled counts based on the identification signal and the sampling signal. The data flow controller is configured to generate a control signal based on the identifiers, the corresponding enable signals, the data counts, and the corresponding sampled counts to control data flow between the first and second processors.

Technologies for collecting metrics associated with a processing resource (e.g., central processing unit (CPU) resources, accelerator device resources, and the like) over a time window are disclosed. According to an embodiment presented herein, a network device receives, in an edge network, a request to provide one or more metrics associated with a processing resource, the request specifying a window indicative of a time period to capture the one or more metrics. The network device obtains the one or more metrics from the processing resource for the specified window and provides the obtained one or more metrics in response to the request.

A packet reception state monitoring unit calculates a target stored data number as a target number of audio packets stored in a memory based on the variation in the reception intervals of audio packets, and a reproduction control unit controls the audio reproduction speed in accordance with the difference between the target stored data number and a memory-stored data number. When the memory-stored data number is smaller than the target stored data number, reproduction control is performed in a low-speed reproduction mode at a lower speed than a regular reproduction speed. When the memory-stored data number is larger than the target stored data number, reproduction control is performed in a high-speed reproduction mode at a higher speed than the regular reproduction speed. A reproduction speed changing process is performed, with hysteresis being given to transitions of the difference between the memory-stored data number and the target stored data number.

There is provided a method for adaptive bitrate (ABR) adjustments in an IP network before making upshift of ABR level of media streams like video for live Over the Top (OTT) distribution. Example methods may include initiating, at a first time interval, probing of the IP network to determine if a first candidate bitrate is applicable, where the first candidate bitrate is greater than a preset bitrate of a client device data stream, determining that the candidate bitrate is applicable, increasing a transfer bitrate of the client device data stream, and initiating, at a second time interval, probing of the IP network to determine if a second candidate bitrate is applicable, where the second candidate bitrate is greater than the first candidate bitrate.