Minotor: Monitoring Timing and Behavioral Properties for Dependable Distributed Systems

Assessing the correct behavior of a given system at run-time can be achieved by monitoring its execution, and is complementary to off-line analysis such as static verification. In this work, we focus on run-time monitoring of system properties that include both causality and timing constraints, in distributed and time-constrained systems. Based on a description of a property that includes events and temporal constraints, expressed as a timed-arc Petri net, we show how to automatically transform it into a an executable and distributed monitoring engine. To that aim, we introduce a modification of the semantics of Petri nets to be able to execute it online on partial executions and distributed observation environments. We show how to use this formal framework to provide MINOTOR, a model-driven distributed monitoring system, describe its implementation and show its applicability on a transportation use-case.