In order to analyze the end-to-end delay performance of aggregate traffic in converged networks

this paper proposes a new algorithm for the end-to-end statistical delay bound of aggregate flow-based converged networks.Using the theorem of the Moment Generating Function（MGF）

this algorithm re-characterizes the MGF probabilistic model of network end-to-end delay bound.Numerical analysis results show that this algorithm is effective and can improve independent statistical multiplexing to a great extent

offering much value of reference for converged network performance evaluation.