Authors:
Frank Nordemann
1
;
Ralf Tönjes
1
and
Elke Pulvermüller
2
Affiliations:
1
Faculty of Engineering and Computer Science, Osnabrück University of Applied Sciences, Osnabrück, Germany
;
2
Institute of Computer Science, University of Osnabrück, Osnabrück, Germany
Keyword(s):
Business Process Modeling, Language Extension, Meta Modeling, Unreliable Communication Environments, Dynamic Process Adaption, Process Robustness Verification, BPMN, DMN, QoS, OppNets, DTNs, rBPMN.
Abstract:
Process modeling languages help to define and execute processes and workflows. The Business Process Model and Notation (BPMN) 2.0 is used for business processes in commercial areas such as banks, shops, production and supply industry. Due to its flexible notation, BPMN is increasingly being used in non-traditional business process domains like Internet of Things (IoT) and agriculture. However, BPMN does not fit well to scenarios taking place in environments featuring limited, delayed, intermittent or broken connectivity. Communication just exists for BPMN - characteristics of message transfers, their priorities and connectivity parameters are not part of the model. No backup mechanism for communication issues exists, resulting in error-prone and failing processes. This paper introduces resilient BPMN (rBPMN), a valid BPMN extension for process modeling in unreliable communication environments. The meta model addition of opportunistic message flows with Quality of Service (QoS) parame
ters and connectivity characteristics allows to verify and enhance process robustness at design time. Modeling of explicit or implicit, decision-based alternatives ensures optimal process operation even when connectivity issues occur. In case of no connectivity, locally moved functionality guarantees stable process operation. Evaluation using an agricultural slurry application showed significant robustness enhancements and prevented process failures due to communication issues.
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