Towards a Model-Driven Infrastructure for Runtime Monitoring

Abstract : In modern pervasive dynamic and eternal systems, software must be able to self-organize its structure and self-adapt its behavior to enhance its resilience and provide the desired quality of service. In this high-dynamic and unpredictable scenario, flexible and reconfigurable monitoring infrastructures become key instruments to verify at runtime functional and non-functional properties. In this paper, we propose a property-driven approach to runtime monitoring that is based on a comprehensive Property Meta-Model (PMM) and on a generic configurable monitoring infrastructure. PMM supports the definition of quantitative and qualitative properties in a machine-processable way making it possible to configure the monitors dynamically. Examples of implementation and applications of the proposed model-driven monitoring infrastructure are excerpted from the ongoing Connect European Project.
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Communication dans un congrès
3rd International Workshop on Software Engineering for Resilient Systems, Sep 2011, Geneva, Switzerland. 2011
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Antonia Bertolino, Antonello Calabrò, Francesca Lonetti, Antinisca Di Marco, Antonino Sabetta. Towards a Model-Driven Infrastructure for Runtime Monitoring. 3rd International Workshop on Software Engineering for Resilient Systems, Sep 2011, Geneva, Switzerland. 2011. 〈hal-00647363〉

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