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A parallel server system with $n$ identical servers is considered. The service time distribution has a finite mean $1/mu$, but otherwise is arbitrary. Arriving customers are be routed to one of the servers immediately upon arrival. Join-Idle-Queue routing algorithm is studied, under which an arriving customer is sent to an idle server, if such is available, and to a randomly uniformly chosen server, otherwise. We consider the asymptotic regime where $ntoinfty$ and the customer input flow rate is $lambda n$. Under the condition $lambda/muu003c1/2$, we prove that, as $ntoinfty$, the sequence of (appropriately scaled) stationary distributions concentrates at the natural equilibrium point, with the fraction of occupied servers being constant equal $lambda/mu$. In particular, this implies that the steady-state probability of an arriving customer waiting for service vanishes.

Large-scale join-idle-queue system with general service times