Adaptive traffic processing in communications network
AssigneeComptel Oy
InventorsJuhana Enqvist, Simo Isomaki, Mikko Jarva
Life of this patent
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Abstract
There is provided adaptive traffic processing in a communications network. Traffic flows from real-life traffic are detected, rules are applied to detected traffic flows, machine-learning based clustering of the detected traffic flows is performed, at least one new traffic rule is generated on the basis of one or more generated traffic clusters, the generated rules are simulated for obtaining a result indicating behavioural effect in the traffic of the communications network, the result is evaluated against one or more performance criteria of the communications network and the generated rules are applied if the performance criteria of the communications network have been met.
Claims19
A system for adaptive traffic processing in a communications network, said system comprising a memory for storing program code and at least one processing core capable of executing the program code to cause:
- detecting traffic flows from real-life traffic;
- applying rules to detected traffic flows;
- performing machine-learning based clustering of the detected traffic flows;
- generating at least one new traffic rule on the basis of one or more generated traffic clusters;
- simulating the generated rules for obtaining a result indicating behavioural effect in the traffic of the communications network;
- evaluating the result against one or more performance criteria of the communications network;
- and
- applying the generated rules if the performance criteria of the communications network have been met.
A method for adaptive traffic processing in a communications network, comprising:
- detecting traffic flows from real-life traffic;
- applying rules to detected traffic flows;
- performing machine-learning based clustering of the detected traffic flows;
- generating at least one new traffic rule on the basis of one or more generated traffic clusters;
- simulating the generated rules for obtaining a result indicating behavioural effect in the traffic of the communications network;
- evaluating the result against one or more performance criteria of the communications network;
- and
- applying the generated rules if the performance criteria of the communications network have been met.
A computer program product, comprising a non-transitory computer readable medium having stored thereon a set of computer readable instructions that, when executed, cause a processor to at least perform a method for adaptive traffic processing in a communications network, the method comprising:
- detecting traffic flows from real-life traffic;
- applying rules to detected traffic flows;
- performing machine-learning based clustering of the detected traffic flows;
- generating at least one new traffic rule on the basis of one or more generated traffic clusters;
- simulating the generated rules for obtaining a result indicating behavioural effect in the traffic of the communications network;
- evaluating the result against one or more performance criteria of the communications network;
- and
- applying the generated rules if the performance criteria of the communications network have been met.
Dependencies are inferred from the claim text.