Communication system, a communication controller and a node agent for connection control based on performance monitoring

A centralized communication controller of a node in a network, the centralized communication controller consisting of:

• a plurality of data transmission ports configured to be connected to corresponding logical channels;
• a plurality of application ports configured to provide data to or from corresponding applications;
• and
• a single node agent having node control data comprising at least one trained machine learning model, the single node agent being configured to:
• monitor performance characteristics for data inflow to the plurality of data transmission ports;
• monitor at least one local observable;
• control a connection between either:
• (i) two or more of the plurality of data transmission ports causing inflow or outflow of data, or (ii) between one or more of the plurality of data transmission ports and one or more of the plurality of application ports, causing (a) inflow of data if the one or more of the plurality of application ports receives data, and (b) outflow of data if the one or more of the plurality of application ports sends data;
• and
• control a connection between either:
• (i) the two or more of the plurality of data transmission ports, or (ii) between the one or more of the plurality of data transmission ports and the one or more of the plurality of application ports based on the monitored performance characteristics, the at least one local observable, the at least one trained machine learning model, and a local policy matrix,
• wherein:
• the local policy matrix is updated based on variations of the at least one local observable derived from at least one of an inflow of data to the centralized communication controller or variations of the performance characteristics such that a global target function defining end to end application performance metrics for providing data to or from the corresponding applications of the centralized communication controller via the plurality of data transmission ports is satisfied for a local control performed by the single node agent, and
• the update of the local policy matrix comprises automatically updating the local policy matrix based on providing at least one of results from the monitoring of the at least one local observable or the performance characteristics into the at least one trained machine learning model, whereby an output of the at least one trained machine learning model is generated by the single node agent which is used by the single node agent to update the local policy matrix.