Method for supporting edge load analytics at application data analytics enabler

An apparatus for wireless communication, comprising:

• at least one memory;
• and
• at least one processor coupled with the at least one memory and configured to cause the apparatus to:
• transmit a subscription request for edge load analytics to an edge analytics producer;
• receive derived edge load analytics from the edge analytics producer;
• and
• generate a trigger event indicating a predicted overload and an action based at least in part on the derived edge load analytics.

A method for wireless communication, the method comprising:

• receiving, from an analytics consumer, a subscription request for edge load analytics for an edge node by an application data analytics enablement server (ADAES), the subscription request indicating an analytics event identifier;
• determining, by the ADAES, a mapping of the analytics event identifier to at least one of a list of data collection event identifiers or a list of data producer identifiers;
• transmitting, by the ADAES, a data collection subscription request to data producers identified by the list of data producer identifiers, the data collection subscription request comprises at least one of the analytics event identifier or a respective data collection event identifier;
• receiving data, by the ADAES, from the data producers, the received data corresponding to the at least one of the analytics event identifier or the respective data collection event identifier;
• deriving the edge load analytics for the edge node from the received data corresponding to the subscription request, the edge load analytics indicates at least one of statistics or a prediction of a load for the edge node;
• and
• transmitting the derived edge load analytics to the analytics consumer.

A method performed by an apparatus, the method comprising:

• transmitting a subscription request for edge load analytics to an edge analytics producer;
• receiving derived edge load analytics from the edge analytics producer;
• and
• generating a trigger event indicating a predicted overload and an action based at least in part on the derived edge load analytics.