Formal Modeling and Discovery of Multi-instance Business Processes: A Cloud Resource Management Case Study

doi:10.1109/JAS.2022.106109

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	Formal Modeling and Discovery of Multi-instance Business Processes: A Cloud Resource Management Case Study
	Cong Liu
刊名	IEEE/CAA Journal of Automatica Sinica
	2022
卷号	9 期号:12 页码:2151-2160
关键词	Cloud resource management process multi-instance Petri nets (MPNs) multi-instance sub-processes process discovery quality evaluation
ISSN号	2329-9266
DOI	10.1109/JAS.2022.106109
英文摘要	Process discovery, as one of the most challenging process analysis techniques, aims to uncover business process models from event logs. Many process discovery approaches were invented in the past twenty years; however, most of them have difficulties in handling multi-instance sub-processes. To address this challenge, we first introduce a multi-instance business process model (MBPM) to support the modeling of processes with multiple sub-process instantiations. Formal semantics of MBPMs are precisely defined by using multi-instance Petri nets (MPNs) that are an extension of Petri nets with distinguishable tokens. Then, a novel process discovery technique is developed to support the discovery of MBPMs from event logs with sub-process multi-instantiation information. In addition, we propose to measure the quality of the discovered MBPMs against the input event logs by transforming an MBPM to a classical Petri net such that existing quality metrics, e.g., fitness and precision, can be used. The proposed discovery approach is properly implemented as plugins in the ProM toolkit. Based on a cloud resource management case study, we compare our approach with the state-of-the-art process discovery techniques. The results demonstrate that our approach outperforms existing approaches to discover process models with multi-instance sub-processes.
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/50585]
专题	自动化研究所_学术期刊_IEEE/CAA Journal of Automatica Sinica
推荐引用方式 GB/T 7714	Cong Liu. Formal Modeling and Discovery of Multi-instance Business Processes: A Cloud Resource Management Case Study[J]. IEEE/CAA Journal of Automatica Sinica,2022,9(12):2151-2160.
APA	Cong Liu.(2022).Formal Modeling and Discovery of Multi-instance Business Processes: A Cloud Resource Management Case Study.IEEE/CAA Journal of Automatica Sinica,9(12),2151-2160.
MLA	Cong Liu."Formal Modeling and Discovery of Multi-instance Business Processes: A Cloud Resource Management Case Study".IEEE/CAA Journal of Automatica Sinica 9.12(2022):2151-2160.