Modelling and evaluating dynamic switching networks using stochastic Petri nets

Azzedine Yahiaoui

doi:10.1109/ICSMC.2004.1401323

Modelling and evaluating dynamic switching networks using stochastic Petri nets

Azzedine Yahiaoui^*

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Stochastic Petri Net is a formalism developed in the field of computer science for modelling system performance. This paper presents an approach based on the concept of an approximate analytical model to evaluate the performance of a dynamic network using Stochastic Petri Nets (SPNs). The proposed approach assists the analyst in producing a simple model that can be easily generalized. This model presents a technique, which increases the importance state using the network. A formal technique using Stochastic Petri nets is also proposed to graphically investigate the steady state performance measures. It is shown that from the measured parameters and under the buffered strategy, the Baseline model with basic switches whish provides a low probability for the performance of networks is also presented.

Original language	English
Title of host publication	2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004
Pages	4995-5000
Number of pages	6
DOIs	https://doi.org/10.1109/ICSMC.2004.1401323
State	Published - 2004
Externally published	Yes

Publication series

Name	Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Volume	5
ISSN (Print)	1062-922X

Keywords

Circuit switching
Markov process
Multistage interconnection networks
Parallel processing
Stochastic Petri Nets

ASJC Scopus subject areas

General Engineering

Access to Document

10.1109/ICSMC.2004.1401323

Cite this

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title = "Modelling and evaluating dynamic switching networks using stochastic Petri nets",

abstract = "Stochastic Petri Net is a formalism developed in the field of computer science for modelling system performance. This paper presents an approach based on the concept of an approximate analytical model to evaluate the performance of a dynamic network using Stochastic Petri Nets (SPNs). The proposed approach assists the analyst in producing a simple model that can be easily generalized. This model presents a technique, which increases the importance state using the network. A formal technique using Stochastic Petri nets is also proposed to graphically investigate the steady state performance measures. It is shown that from the measured parameters and under the buffered strategy, the Baseline model with basic switches whish provides a low probability for the performance of networks is also presented.",

keywords = "Circuit switching, Markov process, Multistage interconnection networks, Parallel processing, Stochastic Petri Nets",

author = "Azzedine Yahiaoui",

year = "2004",

doi = "10.1109/ICSMC.2004.1401323",

language = "English",

isbn = "0780385667",

series = "Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics",

pages = "4995--5000",

booktitle = "2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004",

}

Modelling and evaluating dynamic switching networks using stochastic Petri nets. / Yahiaoui, Azzedine.
2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004. 2004. p. 4995-5000 (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics; Vol. 5).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - Stochastic Petri Net is a formalism developed in the field of computer science for modelling system performance. This paper presents an approach based on the concept of an approximate analytical model to evaluate the performance of a dynamic network using Stochastic Petri Nets (SPNs). The proposed approach assists the analyst in producing a simple model that can be easily generalized. This model presents a technique, which increases the importance state using the network. A formal technique using Stochastic Petri nets is also proposed to graphically investigate the steady state performance measures. It is shown that from the measured parameters and under the buffered strategy, the Baseline model with basic switches whish provides a low probability for the performance of networks is also presented.

KW - Circuit switching

KW - Markov process

KW - Multistage interconnection networks

KW - Parallel processing

KW - Stochastic Petri Nets

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M3 - Conference contribution

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T3 - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

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BT - 2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004

ER -

Modelling and evaluating dynamic switching networks using stochastic Petri nets

Abstract

Publication series

Keywords

ASJC Scopus subject areas

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