Analysis of large workflows

L. Zerguini

doi:10.1109/ICSMC.2002.1168027

Analysis of large workflows

L. Zerguini

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

Abstract

We present a new net-reduction methodology to facilitate the analysis of large workflow models. We propose an enhanced algorithm based on reducible subnet identification which preserve both soundness and response time distribution. Moreover we outline an approach to model the dynamic behavior of business processes by exploiting the power of the class of non-Markovian stochastic Petri net models.

Original language	English
Title of host publication	Proceedings 2002 IEEE International Conference on Systems, Man and Cybernetics (SMC 2002, Yasmine Hammamet, Turkey, October 6-9, 2002)
Place of Publication	Piscataway NJ
Publisher	Institute of Electrical and Electronics Engineers
Pages	309-404
Volume	4
ISBN (Print)	0-7803-7437-1
DOIs	https://doi.org/10.1109/ICSMC.2002.1168027
Publication status	Published - 2002

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10.1109/ICSMC.2002.1168027

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title = "Analysis of large workflows",

abstract = "We present a new net-reduction methodology to facilitate the analysis of large workflow models. We propose an enhanced algorithm based on reducible subnet identification which preserve both soundness and response time distribution. Moreover we outline an approach to model the dynamic behavior of business processes by exploiting the power of the class of non-Markovian stochastic Petri net models.",

author = "L. Zerguini",

year = "2002",

doi = "10.1109/ICSMC.2002.1168027",

language = "English",

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volume = "4",

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publisher = "Institute of Electrical and Electronics Engineers",

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Analysis of large workflows. / Zerguini, L.
Proceedings 2002 IEEE International Conference on Systems, Man and Cybernetics (SMC 2002, Yasmine Hammamet, Turkey, October 6-9, 2002). Vol. 4 Piscataway NJ: Institute of Electrical and Electronics Engineers, 2002. p. 309-404.

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

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AB - We present a new net-reduction methodology to facilitate the analysis of large workflow models. We propose an enhanced algorithm based on reducible subnet identification which preserve both soundness and response time distribution. Moreover we outline an approach to model the dynamic behavior of business processes by exploiting the power of the class of non-Markovian stochastic Petri net models.

U2 - 10.1109/ICSMC.2002.1168027

DO - 10.1109/ICSMC.2002.1168027

M3 - Conference contribution

SN - 0-7803-7437-1

VL - 4

SP - 309

EP - 404

BT - Proceedings 2002 IEEE International Conference on Systems, Man and Cybernetics (SMC 2002, Yasmine Hammamet, Turkey, October 6-9, 2002)

PB - Institute of Electrical and Electronics Engineers

CY - Piscataway NJ

ER -

Analysis of large workflows

Abstract

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