By Raymond Devillers, Antti Valmari
This e-book constitutes the court cases of the thirty sixth overseas convention on program and idea of Petri Nets and Concurrency, PETRI NETS 2015, held in Brussels, Belgium, in June 2015.
The 12 usual papers and a pair of device papers provided during this quantity have been rigorously reviewed and chosen from 34 submissions. moreover the booklet comprises three invited talks in complete paper size. The papers hide a number of issues within the box of Petri nets and comparable types of concurrency.
Read or Download Application and Theory of Petri Nets and Concurrency: 36th International Conference, PETRI NETS 2015, Brussels, Belgium, June 21-26, 2015, Proceedings PDF
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Extra info for Application and Theory of Petri Nets and Concurrency: 36th International Conference, PETRI NETS 2015, Brussels, Belgium, June 21-26, 2015, Proceedings
Precision measures the additional behavior allowed by a discovered model not found in the log. A model with low precision is one that parses a proportionally large number of traces that are not in the log. Generalization captures how well the discovered model generalizes the behavior found in the log. For example, if a model discovered using 90% of traces in the log can parse all or most of the remaining 10% of traces in the log, it is said the model generalizes well the log. Finally, process model complexity is intended as a proxy for understandability.
Several preﬁx unfoldings have been deﬁned in the literature, such as the complete preﬁx unfolding . In  we deﬁned a type of unfolding that additionally captures all the causes of every event – including events inside a cycle – thus allowing us to pinpoint which events are repeated and which are not. 40 M. Dumas and L. Garc´ıa-Ba˜ nuelos This information allows us to do more ﬁne-grained reasoning on the repetitive behavior of a process compared to a complete preﬁx unfolding. 2 From Logs to Event Structures In previous work , we presented a method to generate a PES from an event log.
1 2 Experiments are performed on a machine with 4 cores and 2 threads per core. Experimentally, using 8 threads for the simulation is faster by around 30% than using 4 of them, whereas the speed up between 1 and 4 threads is around 370%. The memory consumption for PRISM with the FAU method is measured with the Unix ‘time’ utility, which includes a large constant overhead due to the Java virtual machine GC. By comparison, the uniformisation method precisely reports the memory consumption. 26 B. Barbot and M.