  Performance modeling is a key issue in queuing theory and operation research.
It is well-known that the length of a queue that awaits service or the time
spent by a job in a queue depends not only on the service rate, but also
crucially on the fluctuations in service time. The larger the fluctuations, the
longer the delay becomes and hence, this is a major hindrance for the queue to
operate efficiently. Various strategies have been adapted to prevent this
drawback. In this perspective, we investigate the effects of one such novel
strategy namely resetting or restart, an emerging concept in statistical
physics and stochastic complex process, that was recently introduced to
mitigate fluctuations-induced delays in queues. In particular, we show that a
service resetting mechanism accompanied with an overhead time can remarkably
shorten the average queue lengths and waiting times. We examine various
resetting strategies and further shed light on the intricate role of the
overhead times to the queuing performance. Our analysis opens up future avenues
in operation research where resetting-based strategies can be universally
promising.
