We consider the asymptotic variance of the departure counting process
D(t) of the GI/G/1 queue; D(t) denotes the number
of departures up to time t. We focus on the case where the system load
ϱ equals 1, and prove that the asymptotic variance rate satisfies
limt→∞varD(t) / t
= λ(1 - 2 / π)(ca2 + cs2), where
λ is the arrival rate, and ca2 and
cs2 are squared coefficients of variation
of the interarrival and service times, respectively. As a consequence, the
departures variability has a remarkable singularity in the case in which
ϱ equals 1, in line with the BRAVO (balancing reduces asymptotic
variance of outputs) effect which was previously encountered in finite-capacity
birth-death queues. Under certain technical conditions, our result generalizes
to multiserver queues, as well as to queues with more general arrival and
service patterns. For the M/M/1 queue, we present an explicit expression of the
variance of D(t) for any t.