The adoption of blockchain to enable a trusted monitoring of multi-party business processes is recently gaining a lot of attention, as the absence of a central authority increases the efficiency and the effectiveness of the delivery of monitoring data. At the same time, artifact-driven monitoring has been proposed to create a flexible monitoring platform for multi-party business processes involving an exchange of goods (e.g., in the logistics domain), where the information delivery does not require a central authority but it lacks of sufficient level of trust. The goal of this paper is to analyze the dependencies among these two areas of interests, and to propose two possible monitoring platforms that exploit blockchain to achieve a trusted artifact-driven monitoring solution.

Combining artifact-driven monitoring with blockchain: Analysis and solutions

Meroni, Giovanni;Plebani, Pierluigi
2018-01-01

Abstract

The adoption of blockchain to enable a trusted monitoring of multi-party business processes is recently gaining a lot of attention, as the absence of a central authority increases the efficiency and the effectiveness of the delivery of monitoring data. At the same time, artifact-driven monitoring has been proposed to create a flexible monitoring platform for multi-party business processes involving an exchange of goods (e.g., in the logistics domain), where the information delivery does not require a central authority but it lacks of sufficient level of trust. The goal of this paper is to analyze the dependencies among these two areas of interests, and to propose two possible monitoring platforms that exploit blockchain to achieve a trusted artifact-driven monitoring solution.
2018
Advanced Information Systems Engineering Workshops - CAiSE 2018 International Workshops, Tallinn, Estonia, June 11-15, 2018, Proceedings
9783319928975
Artifact-driven monitoring; Cyber-physical systems; Trusted process monitoring; Management Information Systems; Control and Systems Engineering; Business and International Management; Information Systems; Modeling and Simulation; Information Systems and Management
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1058722
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