Management of traffic over a communication channel
A method for managing traffic processed by a target network function of a communication network is disclosed. The target network function transmits and receives traffic over a communication channel that carries traffic between network functions and application functions. The method, performed by a Data Analytics Function (DAF) of a communication network, comprises receiving information about traffic flows over the communication channel, establishing a priority amongst traffic flows over the communication channel, based on the received information, generating a recommendation for traffic processing on the basis of the established priority, and sending the generated recommendation to a function in the network that has a management responsibility for the target network function.
1. A method for managing traffic processed by a target network function of a communication network, wherein the target network function transmits and receives traffic over a communication channel that carries traffic between network functions and application functions, the method, performed by a Data Analytics Function, DAF, of a communication network, comprising:
receiving information about traffic flows over the communication channel;
establishing a priority amongst traffic flows over the communication channel, based on the received information, wherein establishing the priority amongst traffic flows comprises applying a Machine Learning, ML, model to the received information, the ML model trained to prioritize traffic flows according to a defined objective;
generating a recommendation for processing of the traffic flows on the basis of the established priority, wherein the recommendation comprises a policy control rule to implement the established priority; and
sending the generated recommendation to a function in the network that has a management responsibility for the target network function.
2. A method as claimed in claim 1 , wherein the communication channel comprises a control plane communication channel that carries control plane messages between network functions.
3. A method as claimed in claim 1 , wherein the communication channel comprises a control plane channel that carries user plane data packets related to end user applications.
4. A method as claimed in claim 1 , wherein establishing priority amongst traffic flows carried over the communication channel, based on the received information, comprises establishing a priority amongst traffic flows carried over the communication channel for the target network function or for a Network Slice, NS, in which the target network function is configured to transmit and receive traffic.
5. A method as claimed in claim 1 , further comprising:
generating a resource requirement for the target network function based on the received information about traffic flows carried over the communication channel;
sending the generated resource requirement to a Network Functions Virtualisation Orchestration, NFVO, function.
6. A method for managing traffic processed by a target network function of a communication network, wherein the target network function transmits and receives traffic over a communication channel that carries traffic between network functions and application functions, the method, performed by a Data Analytics Function, DAF, of a communication network, comprising:
receiving information about traffic flows over the communication channel;
generating a predicted risk of congestion in the network on the basis of the received information about traffic flows carried over the communication channel;
establishing a priority amongst traffic flows over the communication channel, based on the received information;
generating a recommendation for processing of the traffic flows on the basis of the established priority, wherein the recommendation comprises a policy control rule to implement the established priority; and
sending the generated recommendation to a function in the network that has a management responsibility for the target network function.
7. A method as claimed in claim 6 , wherein generating a predicted risk of congestion in the network on the basis of the received information about traffic flows in the network comprises applying a Machine Learning, ML, model to the received information about traffic flows in the network.
8. A method for managing traffic processed by a target Network Function, NF, of a communication network, wherein the target NF transmits and receives traffic over a communication channel that carries traffic between network functions and application functions, the method, performed by the target NF comprising:
receiving a recommendation from another function in the network, wherein the recommendation determines a priority with which different traffic flows are to be processed in the network function, wherein the recommendation comprises a policy control rule;
processing traffic flows received at the network function over the communication channel in accordance with the received recommendation;
determining that a measure of congestion in the function fulfils a condition; and
responsive to determining that the measure of congestion in the function fulfils the condition, requesting the policy control rule for prioritizing handling of traffic from another function in the network.
9. A method as claimed in claim 8 , wherein the communication channel comprises a control plane communication channel that carries control plane messages between network functions.
10. A method as claimed in claim 8 , wherein the communication channel comprises a control plane channel that carries user plane data packets related to end user applications.
11. A method as claimed in claim 8 , wherein the recommendation is generated by a DAF.
12. A method as claimed in claim 8 , wherein the target network function comprises a Network Exposure Function, NEF, the method further comprising:
receiving a load status report from an Application Function; and
sending the received load status report to a DAF in the network.
13. A Data Analytics Function, DAF, for a communication network, the DAF being for managing traffic processed by a target network function of a communication network, wherein the target network function transmits and receives traffic over a communication channel that carries traffic between network functions and application functions, the DAF comprising processing circuitry and a memory, the memory containing instructions executable by the processing circuitry such that the DAF is operative to:
receive information about traffic flows over the communication channel;
establish a priority amongst traffic flows over the communication channel, based on the received information, wherein establishing the priority amongst traffic flows comprises applying a Machine Learning, ML, model to the received information, the ML model trained to prioritize traffic flows according to a defined objective;
generate a recommendation for processing of the traffic flows on the basis of the established priority, wherein the recommendation comprises a policy control rule to implement the established priority; and
send the generated recommendation to a function in the network that has a management responsibility for the target network function.
14. A DAF as claimed in claim 13 , wherein the processing circuitry is further configured to generate a predicted risk of congestion in the network on the basis of the received information about traffic flows carried over the communication channel.
15. A target Network Function, NF, for a communications network, the target NF being for managing traffic processed by the target NF, wherein the target NF transmits and receives traffic over a communication channel that carries traffic between network functions and application functions, the target NF comprising processing circuitry and a memory, the memory containing instructions executable by the processing circuitry such that the NF is operative to:
receive a recommendation from another function in the network, wherein the recommendation determines a priority with which different traffic flows are to be processed in the network function, wherein the recommendation comprises a policy control rule;
process traffic flows received at the network function over the communication channel in accordance with the received recommendation;
determine that a measure of congestion in the function fulfils a condition; and
responsive to determining that the measure of congestion in the function fulfils the condition, request the policy control rule for prioritizing handling of traffic from another function in the network.