Strong Embeddings for Transitory Queueing Models

In this paper, we establish strong embedding theorems, in the sense of Komlós-Major-Tusnády framework, for performance metrics a general class transitory queueing models nonstationary systems. The and non-Markovian nature these makes computation hard. embeddings yield error bounds on sample path approximations by diffusion processes form functional approximation theorems.