From Static to Dynamic Analysis and Allocation of Resources for BPMN Processes

Francisco Durán, Yliès Falcone, Camilo Rocha, Gwen Salaün, Ahang Zuo

Producción: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

3 Citas (Scopus)

Resumen

Business process optimisation is a strategic activity in organisations because of its potential to increase profit margins and reduce operational costs. One of the main challenges in this context is concerned with the problem of optimising the allocation and sharing of resources. In this work, processes are described using the BPMN notation extended with an explicit description of execution time and resources associated with tasks, and can be concurrently executed multiple times. First, a simulation-based approach for computing certain metrics of interest, such as average execution time or resource usage, is presented. This approach applies off-line and is static in the sense that the number of resources does not evolve over the time of the simulation. In a second step, an alternative approach is presented, which works online, thus requiring the instrumentation of an existing platform for retrieving information of interest during the processes’ execution. This second approach is dynamic because the number of resource replicas is updated over the time of the execution. This paper aims at stressing pros and cons of both approaches, and at showing how they complement each other.

Idioma originalInglés
Título de la publicación alojadaRewriting Logic and Its Applications - 14th International Workshop, WRLA 2022, Revised Selected Papers
EditoresKyungmin Bae
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas3-21
Número de páginas19
ISBN (versión impresa)9783031124402
DOI
EstadoPublicada - 2022
Evento14th International Workshop on Rewriting Logic and its Applications, WRLA 2022 - Munich, Alemania
Duración: 02 abr. 202203 abr. 2022

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen13252 LNCS
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia14th International Workshop on Rewriting Logic and its Applications, WRLA 2022
País/TerritorioAlemania
CiudadMunich
Período02/04/2203/04/22

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