In this paper, we investigate the performance characteristics of parallel s
witching architectures constructed by a stack of multistage switching netwo
rks. We first find that the performances of the previously proposed paralle
l switching architectures are much worse than the expected ones from analyt
ic models which are based on the assumption that traffic is uniformly distr
ibuted at each stage of a switching network. We show that this phenomenon i
s closely related to a traffic-distribution capability of a parallel switch
ing system and has a large influence on the performance. From these results
, we then propose an architectural solution based on the Generalized Shuffl
e Network (GSN) and analyze its performance by proposing a new iterative an
alysis method. The proposed architecture uses self-routing and deflection r
outing, and inherently has a traffic-distribution capability to improve swi
tch performances such as cell loss and delay in a cost-effective manner. Fr
om the comparison of simulation and analysis results, it is shown that the
developed models are quite accurate in predicting the performance of a new
parallel switching system.