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Process Algebra to Control Nondeterministic Behavior of Enterprise Smart IoT Systems with Probability

Abstract : Process algebra is one of the best suitable formal methods to model enterprise Smart IoT Systems with some uncertainty of risks. However, because of choice operations in process algebra, it is necessary to control nondeterministic behaviors of the systems. The process algebra, i.e., PAROMA, PACSR, tried to control the degree of selection in the choice operations with probability, but they didn’t have any notion of controlling nondeterminism in the systems, since they were based on static probability models only. In order to overcome the limitation, the paper presents a new formal method, called dTP-Calculus, extended from the existing dT-Calculus with dynamic properties on probability. Consequently, it will provide all the necessary probable features to determine the safe and secure range of the system behaviors. For implementation, the SAVE tool suite has been developed on the ADOxx Meta-Modeling Platform, including Specifier, Analyzer and Verifier.
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Submitted on : Thursday, May 20, 2021 - 5:10:36 PM
Last modification on : Thursday, June 17, 2021 - 3:30:08 PM
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Junsup Song, Moonkun Lee. Process Algebra to Control Nondeterministic Behavior of Enterprise Smart IoT Systems with Probability. 12th IFIP Working Conference on The Practice of Enterprise Modeling (PoEM), Nov 2019, Luxembourg, Luxembourg. pp.184-196, ⟨10.1007/978-3-030-35151-9_12⟩. ⟨hal-03231349⟩

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