会议专题

A Systematic Performance Evaluation Method for a Discrete-Time Tandem Network

A simple and systematic method mainly composed of a decomposition technique and a parameter fitting algorithm is proposed in this paper to get end-to-end performance measures for a discrete-time tandem network with inputs of two-state Markov-modulated Bernoulli processes (MMBPs). To validate the proposed method, several experiments are conducted. We show that the proposed method has good accuracy in performance evaluation for such a tandem network in terms of delay, delay variance, and packet loss probability.

Discrete-time Markov-modulated Bernoulli process (MMBP) decomposition parameter fitting algorithm

CHENG-CHING PENG HUEI-WEN FERNG

Department of Computer Science and Information Engineering, Taipei 106, Taiwan National Taiwan University of Science and Technology, Taipei 106, Taiwan

国际会议

2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

昆明

英文

3118-3124

2008-07-12(万方平台首次上网日期,不代表论文的发表时间)