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.

Towards a model-driven infrastructure for runtime monitoring

Bertolino A.;Calabro' A.;Lonetti F.;
2011

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.
2011
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
978-3-642-24123-9
Monitoring
Model-driven engineering
Property meta-model
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/174103
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