Business Processes Analysis with Resource-Aware Machine Learning Scheduling in Rewriting Logic

Francisco Durán; Daniela Martínez; Camilo Rocha

doi:10.1007/978-3-031-12441-9_6

Business Processes Analysis with Resource-Aware Machine Learning Scheduling in Rewriting Logic

Francisco Durán, Daniela Martínez, Camilo Rocha

Producción: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

2 Citas (Scopus)

Resumen

A significant task in business process optimization is concerned with streamlining the allocation and sharing of resources. This paper presents an approach for analyzing business process provisioning under a resource prediction strategy based on machine learning. A timed and probabilistic rewrite theory specification formalizes the semantics of business processes. It is integrated with an external oracle in the form of a long short-term memory neural network that can be queried to predict how traces of the process may advance within a time frame. Comparison of execution time and resource occupancy under different parameters is included for a case study, as well as details on the building of the machine learning model and its integration with Maude.

Idioma original	Inglés
Título de la publicación alojada	Rewriting Logic and Its Applications - 14th International Workshop, WRLA 2022, Revised Selected Papers
Editores	Kyungmin Bae
Editorial	Springer Science and Business Media Deutschland GmbH
Páginas	113-129
Número de páginas	17
ISBN (versión impresa)	9783031124402
DOI	https://doi.org/10.1007/978-3-031-12441-9_6
Estado	Publicada - 2022
Evento	14th International Workshop on Rewriting Logic and its Applications, WRLA 2022 - Munich, Alemania Duración: 02 abr. 2022 → 03 abr. 2022

Serie de la publicación

Nombre	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen	13252 LNCS
ISSN (versión impresa)	0302-9743
ISSN (versión digital)	1611-3349

Conferencia

Conferencia	14th International Workshop on Rewriting Logic and its Applications, WRLA 2022
País/Territorio	Alemania
Ciudad	Munich
Período	02/04/22 → 03/04/22

Acceder al documento

10.1007/978-3-031-12441-9_6

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Enlace a la publicación en Scopus

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Durán, F., Martínez, D., & Rocha, C. (2022). Business Processes Analysis with Resource-Aware Machine Learning Scheduling in Rewriting Logic. En K. Bae (Ed.), Rewriting Logic and Its Applications - 14th International Workshop, WRLA 2022, Revised Selected Papers (pp. 113-129). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13252 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-12441-9_6

Durán, Francisco ; Martínez, Daniela ; Rocha, Camilo. / Business Processes Analysis with Resource-Aware Machine Learning Scheduling in Rewriting Logic. Rewriting Logic and Its Applications - 14th International Workshop, WRLA 2022, Revised Selected Papers. editor / Kyungmin Bae. Springer Science and Business Media Deutschland GmbH, 2022. pp. 113-129 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "A significant task in business process optimization is concerned with streamlining the allocation and sharing of resources. This paper presents an approach for analyzing business process provisioning under a resource prediction strategy based on machine learning. A timed and probabilistic rewrite theory specification formalizes the semantics of business processes. It is integrated with an external oracle in the form of a long short-term memory neural network that can be queried to predict how traces of the process may advance within a time frame. Comparison of execution time and resource occupancy under different parameters is included for a case study, as well as details on the building of the machine learning model and its integration with Maude.",

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Durán, F, Martínez, D & Rocha, C 2022, Business Processes Analysis with Resource-Aware Machine Learning Scheduling in Rewriting Logic. En K Bae (ed.), Rewriting Logic and Its Applications - 14th International Workshop, WRLA 2022, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13252 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 113-129, 14th International Workshop on Rewriting Logic and its Applications, WRLA 2022, Munich, Alemania, 02/04/22. https://doi.org/10.1007/978-3-031-12441-9_6

Business Processes Analysis with Resource-Aware Machine Learning Scheduling in Rewriting Logic. / Durán, Francisco; Martínez, Daniela; Rocha, Camilo.
Rewriting Logic and Its Applications - 14th International Workshop, WRLA 2022, Revised Selected Papers. ed. / Kyungmin Bae. Springer Science and Business Media Deutschland GmbH, 2022. p. 113-129 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13252 LNCS).

Producción: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

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Durán F, Martínez D, Rocha C. Business Processes Analysis with Resource-Aware Machine Learning Scheduling in Rewriting Logic. En Bae K, editor, Rewriting Logic and Its Applications - 14th International Workshop, WRLA 2022, Revised Selected Papers. Springer Science and Business Media Deutschland GmbH. 2022. p. 113-129. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-12441-9_6