Branching processes of Petri nets
Acta Informatica
Metric semantics for true concurrent real time
Theoretical Computer Science
An Improvement of McMillan's Unfolding Algorithm
Formal Methods in System Design
First Passage Time Analysis of Stochastic Process Algebra Using Partial Orders
TACAS 2001 Proceedings of the 7th International Conference on Tools and Algorithms for the Construction and Analysis of Systems
ICATPN '97 Proceedings of the 18th International Conference on Application and Theory of Petri Nets
Using Unfoldings to Avoid the State Explosion Problem in the Verification of Asynchronous Circuits
CAV '92 Proceedings of the Fourth International Workshop on Computer Aided Verification
Information and Computation
Probabilistic event structures and domains
Theoretical Computer Science - Concurrency theory (CONCUR 2004)
True-concurrency probabilistic models: Markov nets and a law of large numbers
Theoretical Computer Science
Monotonicity in Service Orchestrations
PETRI NETS '09 Proceedings of the 30th International Conference on Applications and Theory of Petri Nets
Event structure semantics of Orc
WS-FM'07 Proceedings of the 4th international conference on Web services and formal methods
Stochastic Petri Nets: Modelling, Stability, Simulation
Stochastic Petri Nets: Modelling, Stability, Simulation
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In concurrent real-time processes, the speed of individual components has a double impact: on the one hand, the overall latency of a compound process is affected by the latency of its components. But, if the composition has race conditions, the very outcome of the process will also depend on the latency of component processes. Using stochastic Petri nets, we investigate the probability of a transition occurrence being critical for the entire process, i.e. such that a small increase or decrease of the duration of the occurrence entails an increase or decrease of the total duration of the process. The first stage of the analysis focuses on occurrence nets, as obtained by partial order unfoldings, to determine criticality of events; we then lift to workflow nets to investigate criticality of transitions inside a workflow.