Behavioral Analysis and Performance Evaluation of a Shift Processing System by an Extended Stochastic Petri Net

Qun JIN; Mitsuo KAMEI; Yoshio SUGASAWA

Behavioral Analysis and Performance Evaluation of a Shift Processing System by an Extended Stochastic Petri Net

Qun JIN, Mitsuo KAMEI, Yoshio SUGASAWA

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Stochastic Petri Nets and Generalized Stochastic Petri Nets as well as other extensions to Stochastic Petri Nets have been widely applied as a model of asynchronous concurrent process, or as an aid to analyze or design concurrent systems. This paper presents an Extended Stochastic Petri Net model for a shift processing system in which three kinds of sink may occur and an arbitrary time distribution is incorporated, provides an analytical method based on a Markov renewal process with some non-regeneration points to clarify the probabilistic behavior of the system, and finally evaluates the performance of the system with numerical values.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E75-A No.10 pp.1378-1384

Publication Date: 1992/10/25

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Type of Manuscript: Special Section PAPER (Special Section on Application of Petri Nets to Concurrent System Design)

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Qun JIN, Mitsuo KAMEI, Yoshio SUGASAWA, "Behavioral Analysis and Performance Evaluation of a Shift Processing System by an Extended Stochastic Petri Net" in IEICE TRANSACTIONS on Fundamentals, vol. E75-A, no. 10, pp. 1378-1384, October 1992, doi: .
Abstract: Stochastic Petri Nets and Generalized Stochastic Petri Nets as well as other extensions to Stochastic Petri Nets have been widely applied as a model of asynchronous concurrent process, or as an aid to analyze or design concurrent systems. This paper presents an Extended Stochastic Petri Net model for a shift processing system in which three kinds of sink may occur and an arbitrary time distribution is incorporated, provides an analytical method based on a Markov renewal process with some non-regeneration points to clarify the probabilistic behavior of the system, and finally evaluates the performance of the system with numerical values.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1587/e75-a_10_1378/_p

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@ARTICLE{e75-a_10_1378,
author={Qun JIN, Mitsuo KAMEI, Yoshio SUGASAWA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Behavioral Analysis and Performance Evaluation of a Shift Processing System by an Extended Stochastic Petri Net},
year={1992},
volume={E75-A},
number={10},
pages={1378-1384},
abstract={Stochastic Petri Nets and Generalized Stochastic Petri Nets as well as other extensions to Stochastic Petri Nets have been widely applied as a model of asynchronous concurrent process, or as an aid to analyze or design concurrent systems. This paper presents an Extended Stochastic Petri Net model for a shift processing system in which three kinds of sink may occur and an arbitrary time distribution is incorporated, provides an analytical method based on a Markov renewal process with some non-regeneration points to clarify the probabilistic behavior of the system, and finally evaluates the performance of the system with numerical values.},
keywords={},
doi={},
ISSN={},
month={October},}

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TY - JOUR
TI - Behavioral Analysis and Performance Evaluation of a Shift Processing System by an Extended Stochastic Petri Net
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1378
EP - 1384
AU - Qun JIN
AU - Mitsuo KAMEI
AU - Yoshio SUGASAWA
PY - 1992
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E75-A
IS - 10
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - October 1992
AB - Stochastic Petri Nets and Generalized Stochastic Petri Nets as well as other extensions to Stochastic Petri Nets have been widely applied as a model of asynchronous concurrent process, or as an aid to analyze or design concurrent systems. This paper presents an Extended Stochastic Petri Net model for a shift processing system in which three kinds of sink may occur and an arbitrary time distribution is incorporated, provides an analytical method based on a Markov renewal process with some non-regeneration points to clarify the probabilistic behavior of the system, and finally evaluates the performance of the system with numerical values.
ER -