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.
This work is partially supported by the EU-funded Connect project (FP7–231167) and EU-funded VISION ERC project (ERC-240555).
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Bertolino, A., Calabrò, A., Lonetti, F., Di Marco, A., Sabetta, A. (2011). Towards a Model-Driven Infrastructure for Runtime Monitoring. In: Troubitsyna, E.A. (eds) Software Engineering for Resilient Systems. SERENE 2011. Lecture Notes in Computer Science, vol 6968. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24124-6_13
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