  We develop rare-event simulation methodology for the analysis of loss events
in a many-server loss system under quality-driven regime, focusing on the
steady-state loss probability (i.e. fraction of lost customers over arrivals)
and the behavior of the whole system leading to loss events. The analysis of
these events requires working with the full measure-valued process describing
the system. This is the first algorithm that is shown to be asymptotically
optimal, in the rare-event simulation context, under the setting of many-server
queues involving a full measure-valued descriptor.
