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

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

4 Scopus citations

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.

Original language	English
Title of host publication	Rewriting Logic and Its Applications - 14th International Workshop, WRLA 2022, Revised Selected Papers
Editors	Kyungmin Bae
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	113-129
Number of pages	17
ISBN (Print)	9783031124402
DOIs	https://doi.org/10.1007/978-3-031-12441-9_6
State	Published - 2022
Event	14th International Workshop on Rewriting Logic and its Applications, WRLA 2022 - Munich, Germany Duration: 02 Apr 2022 → 03 Apr 2022

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13252 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	14th International Workshop on Rewriting Logic and its Applications, WRLA 2022
Country/Territory	Germany
City	Munich
Period	02/04/22 → 03/04/22

Access to Document

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

Cite this

Durán, F., Martínez, D., & Rocha, C. (2022). Business Processes Analysis with Resource-Aware Machine Learning Scheduling in Rewriting Logic. In 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. in 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, Germany, 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).

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

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Durán F, Martínez D, Rocha C. Business Processes Analysis with Resource-Aware Machine Learning Scheduling in Rewriting Logic. In 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