Bertolino Antonia, Calabrò Antonello, Lonetti Francesca, Di Marco Antinisca, Sabetta Antonino
Monitoring Model-driven engineering Property meta-model
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.
Source: 3rd International Workshop on Software Engineering for Resilient Systems, SERENE'11, pp. 130–144, Geneva, Switzerland, 29-30 September 2011
Publisher: Springer-Verlag, Berlin, DEU
@inproceedings{oai:it.cnr:prodotti:206308, title = {Towards a model-driven infrastructure for runtime monitoring}, author = {Bertolino Antonia and Calabrò Antonello and Lonetti Francesca and Di Marco Antinisca and Sabetta Antonino}, publisher = {Springer-Verlag, Berlin, DEU}, booktitle = {3rd International Workshop on Software Engineering for Resilient Systems, SERENE'11, pp. 130–144, Geneva, Switzerland, 29-30 September 2011}, year = {2011} }