Diagnosis of Computer Systems by Stochastic Petri Nets Part <cd02d35.gif> (Application)

Satoshi MORIGUCHI; Gerald S. SHEDLER

Diagnosis of Computer Systems by Stochastic Petri Nets Part (Application)

Satoshi MORIGUCHI, Gerald S. SHEDLER

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The pursuit of higher availability has resulted in the development of fault tolerant systems for many industries. However, system characteristics that can be perceived by the customer have never been diagnosed quantitatively. This paper considers the application of stochastic Petri nets with general firing times to modeling of a fault tolerant system and the use of discrete-event simulation methods for stochastic Petri nets to study the behavior of the system. The stochastic Petri net model incorporates factors that compose the system as well as those that accompany it, including RAS characteristics of products, personnel arrangements, and system management. By modeling the behavioral aspect of each factor, it is possible to diagnose a fault tolerant system quantitatively on the basis of customer impact.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E75-A No.10 pp.1369-1377

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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Satoshi MORIGUCHI, Gerald S. SHEDLER, "Diagnosis of Computer Systems by Stochastic Petri Nets Part (Application)" in IEICE TRANSACTIONS on Fundamentals, vol. E75-A, no. 10, pp. 1369-1377, October 1992, doi: .
Abstract: The pursuit of higher availability has resulted in the development of fault tolerant systems for many industries. However, system characteristics that can be perceived by the customer have never been diagnosed quantitatively. This paper considers the application of stochastic Petri nets with general firing times to modeling of a fault tolerant system and the use of discrete-event simulation methods for stochastic Petri nets to study the behavior of the system. The stochastic Petri net model incorporates factors that compose the system as well as those that accompany it, including RAS characteristics of products, personnel arrangements, and system management. By modeling the behavioral aspect of each factor, it is possible to diagnose a fault tolerant system quantitatively on the basis of customer impact.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1587/e75-a_10_1369/_p

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@ARTICLE{e75-a_10_1369,
author={Satoshi MORIGUCHI, Gerald S. SHEDLER, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Diagnosis of Computer Systems by Stochastic Petri Nets Part (Application)},
year={1992},
volume={E75-A},
number={10},
pages={1369-1377},
abstract={The pursuit of higher availability has resulted in the development of fault tolerant systems for many industries. However, system characteristics that can be perceived by the customer have never been diagnosed quantitatively. This paper considers the application of stochastic Petri nets with general firing times to modeling of a fault tolerant system and the use of discrete-event simulation methods for stochastic Petri nets to study the behavior of the system. The stochastic Petri net model incorporates factors that compose the system as well as those that accompany it, including RAS characteristics of products, personnel arrangements, and system management. By modeling the behavioral aspect of each factor, it is possible to diagnose a fault tolerant system quantitatively on the basis of customer impact.},
keywords={},
doi={},
ISSN={},
month={October},}

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TY - JOUR
TI - Diagnosis of Computer Systems by Stochastic Petri Nets Part (Application)
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1369
EP - 1377
AU - Satoshi MORIGUCHI
AU - Gerald S. SHEDLER
PY - 1992
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E75-A
IS - 10
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - October 1992
AB - The pursuit of higher availability has resulted in the development of fault tolerant systems for many industries. However, system characteristics that can be perceived by the customer have never been diagnosed quantitatively. This paper considers the application of stochastic Petri nets with general firing times to modeling of a fault tolerant system and the use of discrete-event simulation methods for stochastic Petri nets to study the behavior of the system. The stochastic Petri net model incorporates factors that compose the system as well as those that accompany it, including RAS characteristics of products, personnel arrangements, and system management. By modeling the behavioral aspect of each factor, it is possible to diagnose a fault tolerant system quantitatively on the basis of customer impact.
ER -