A method in a telecommunications network comprises acquiring values of one or more parameters relating to traffic flow between a first group of nodes in the network. The method further comprises using a first reinforcement learning agent to dynamically adjust a first routing metric used to route traffic through the first group of nodes, based on the values of the one or more parameters, so as to alter the traffic flow through the first group of nodes.

A conferencing computing device, including memory storing one or more dispatch data structures. The conferencing computing device may further include a processor configured to, at a port, receive, from a sender computing device, a first input packet including first input packet data and a second input packet that includes a copy of the first input packet data, via a first communication channel and a second communication channel, respectively. Based on the input packet data and the one or more dispatch data structures, the processor may add the input packets to a queue of a transport provider bound to the port. The processor may transmit the input packets to an application program instance associated with the queue. The processor may determine that the first communication channel or the second communication channel is disconnected and may maintain communication with the sender computing device through the port via a remaining communication channel.

A conferencing computing device, including memory storing one or more dispatch data structures. The conferencing computing device may further include a processor configured to receive a plurality of input packets at a shared port from a plurality of sender computing devices. Based on input packet data and the one or more dispatch data structures, the processor may add each input packet to an input queue bound to the shared port. The processor may transmit the input packets to a plurality of application program instances associated with the input queues. The processor may generate a plurality of output packets at the application program instances. The processor may add each output packet to an output queue associated with the application program instance at which that output packet was generated. The processor may, through the shared port, transmit the output packets to a plurality of recipient computing devices.

A queue management method, system, and recording medium include Selective Acknowledgments (SACK) examining to examine SACK blocks of the forwarder to selectively drop packets in the forward flow queue based on a reverse flow queue and MultiPath Transmission Control Protocol (MPTCP) examining configured to examine multipath headers to recognize MPTCP flows and examine the reverse flow queue to determine if redundant data has been sent such that the dropping drops the redundant data.

A communication apparatus includes: a monitor configured to monitor a first communication amount in first communication between a first communication apparatus and a terminal apparatus and/or a second communication amount in second communication between a second communication apparatus and the terminal apparatus, the second communication apparatus performs communication with the terminal apparatus; and a transmitter configured to transmit information relating to monitoring result by the monitor to a communication control apparatus that is able to perform policy control and charging control.

In one embodiment, a system comprising a network interface controller comprising circuitry to determine per-flow analytics information for a plurality of packet flows; and facilitate differential rate processing of a plurality of packet queues for the plurality of packet flows based on the per-flow analytics information.

A communication control apparatus includes an observed data rate acquiring unit configured to acquire observed data rates indicating input data rates of queues, the observed data rates being observed in a layer 2 switch, a threshold value storage unit configured to store predetermined threshold values of the queues, a shaping rate determination unit configured to determine a shaping rate of each queue based on both observed data based on an observed data rate of the observed data rates acquired by the observed data rate acquiring unit and a threshold value of the predetermined threshold values stored in the threshold value storage unit, and a shaping rate setting unit configured to set, in the layer 2 switch, the shaping rate of each queue determined by the shaping rate determination unit.

Apparatuses, methods, and systems are disclosed for rules handling. One apparatus includes a processor that determines whether a remote unit will apply network traffic steering data for routing data traffic on a first route across a first access network and a second route across a second access network. In some embodiments, the first and second routes may be different. In various embodiments, the apparatus includes a transmitter that transmits information that indicates whether the remote unit will apply the network traffic steering data.

A method trains a neural network to recognize whether a resource is authorized to be returned to a requester. One or more processors train a neural network to traverse a policy enforcement hypergraph in order to identify a security policy to be used for a resource request and to authorize a use of a requested resource by a requester. The policy enforcement hypergraph is derived from a policy enforcement graph that expresses a set of security profiles for resources and requesters. The processor(s) receive a resource request for a requested resource from a requester, where the resource request includes a description of the requester. A system/user inputs a description of the received resource request and a description of the policy enforcement hypergraph into the trained neural network in order to selectively return the requested resource to the requester.

Disclosed are techniques to provide data at listening event offsets, using a buffering scheme having a common buffer. Received data, to be transmitted at the listening event offsets, is stored into the common buffer without classification to listening event offsets. Data to be transmitted at an upcoming listening event offset is identified in the common buffer prior to the listening event offset. Example techniques provide for simpler reconfigurability of listening events offsets, as well as transmitting data at each listening event offset that is responsive to a state of the system prior to the listening event offset.