Inferring quality of experience (QoE) based on choice of QoE inference model

An apparatus comprising:

• a network interface configured to obtain or provide network communications;
• and
• one or more processors coupled to the network interface, wherein the one or more processors are configured to:
• identify a location of a potential bottleneck of network traffic in a network based on network flows of the network traffic that are streamed from a network traffic distribution node in the network to a plurality of client nodes;
• based on the location of the potential bottleneck, select a first Quality of Experience (QoE) inference model from a plurality of respective QoE inference models that are each trained to infer a respective QoE of the network traffic based on one or more respective network traffic metrics generated by monitoring the network traffic at a respective location in the network;
• generate one or more first network traffic metrics of the one or more respective network traffic metrics by monitoring the network traffic at a first respective location;
• and
• provide the one or more first network traffic metrics to the first QoE inference model to infer a first respective QoE.

One or more non-transitory computer readable storage media encoded with instructions that, when executed by a processor, cause the processor to:

• identify a location of a potential bottleneck of network traffic in a network based on network flows of the network traffic that are streamed from a network traffic distribution node in the network to a plurality of client nodes;
• based on the location of the potential bottleneck, select a first Quality of Experience (QoE) inference model from a plurality of respective QoE inference models that are each trained to infer a respective QoE of the network traffic based on one or more respective network traffic metrics generated by monitoring the network traffic at a respective location in the network;
• generate one or more first network traffic metrics of the one or more respective network traffic metrics by monitoring the network traffic at a first respective location;
• and
• provide the one or more first network traffic metrics to the first QoE inference model to infer a first respective QoE.