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Dynamically Switching Execution Context in Data-Centric BPM Approaches
In contemporary business process management software, the context in which a process is executed is largely static. While the execution of the process itself may be flexible, on-the-fly changes to the context, i.e., physical or logical surroundings, are either limited or impossible. This paper prese...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7254560/ http://dx.doi.org/10.1007/978-3-030-49418-6_1 |
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author | Andrews, Kevin Steinau, Sebastian Reichert, Manfred |
author_facet | Andrews, Kevin Steinau, Sebastian Reichert, Manfred |
author_sort | Andrews, Kevin |
collection | PubMed |
description | In contemporary business process management software, the context in which a process is executed is largely static. While the execution of the process itself may be flexible, on-the-fly changes to the context, i.e., physical or logical surroundings, are either limited or impossible. This paper presents concepts for enabling context switching at runtime for the object-aware process management paradigm. Such context switches are enabled at various granularity levels, such as shifting entire process instances to different systems, or migrating sub-processes between different parent processes. We further contribute the algorithms employed in our proof-of-concept implementation and discuss use cases in which context switching capabilities can be utilized. Implementing these advanced concepts helps showcase the maturity of data-centric BPM. |
format | Online Article Text |
id | pubmed-7254560 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-72545602020-05-28 Dynamically Switching Execution Context in Data-Centric BPM Approaches Andrews, Kevin Steinau, Sebastian Reichert, Manfred Enterprise, Business-Process and Information Systems Modeling Article In contemporary business process management software, the context in which a process is executed is largely static. While the execution of the process itself may be flexible, on-the-fly changes to the context, i.e., physical or logical surroundings, are either limited or impossible. This paper presents concepts for enabling context switching at runtime for the object-aware process management paradigm. Such context switches are enabled at various granularity levels, such as shifting entire process instances to different systems, or migrating sub-processes between different parent processes. We further contribute the algorithms employed in our proof-of-concept implementation and discuss use cases in which context switching capabilities can be utilized. Implementing these advanced concepts helps showcase the maturity of data-centric BPM. 2020-05-05 /pmc/articles/PMC7254560/ http://dx.doi.org/10.1007/978-3-030-49418-6_1 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Andrews, Kevin Steinau, Sebastian Reichert, Manfred Dynamically Switching Execution Context in Data-Centric BPM Approaches |
title | Dynamically Switching Execution Context in Data-Centric BPM Approaches |
title_full | Dynamically Switching Execution Context in Data-Centric BPM Approaches |
title_fullStr | Dynamically Switching Execution Context in Data-Centric BPM Approaches |
title_full_unstemmed | Dynamically Switching Execution Context in Data-Centric BPM Approaches |
title_short | Dynamically Switching Execution Context in Data-Centric BPM Approaches |
title_sort | dynamically switching execution context in data-centric bpm approaches |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7254560/ http://dx.doi.org/10.1007/978-3-030-49418-6_1 |
work_keys_str_mv | AT andrewskevin dynamicallyswitchingexecutioncontextindatacentricbpmapproaches AT steinausebastian dynamicallyswitchingexecutioncontextindatacentricbpmapproaches AT reichertmanfred dynamicallyswitchingexecutioncontextindatacentricbpmapproaches |