A systematic performance evaluation method for a discrete-time tandem network

Author

Peng, Cheng-ching ; Ferng, Huei-Wen

Author_Institution

Dept. of Comput. Sci. & Inf. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei

Volume

6

fYear

2008

fDate

12-15 July 2008

Firstpage

3118

Lastpage

3124

Abstract

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.

Keywords

Markov processes; probability; queueing theory; Markov-modulated Bernoulli processes; decomposition technique; delay variance; discrete-time tandem network; packet loss probability; parameter fitting algorithm; queueing system; systematic performance evaluation method; Application software; Computer applications; Computer networks; Computer science; Cybernetics; Electronic mail; Machine learning; Performance loss; Telecommunication traffic; Traffic control; Discrete-time; Markov-modulated Bernoulli process (MMBP); algorithm; decomposition; parameter fitting;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2008 International Conference on

Conference_Location

Kunming

Print_ISBN

978-1-4244-2095-7

Electronic_ISBN

978-1-4244-2096-4

Type

conf

DOI

10.1109/ICMLC.2008.4620944

Filename

4620944