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Metrics for QoS analysis in dynamic, evolving and heterogeneous CONNECTed systems

Abstract : Dynamic, evolving systems pose new challenges from the point of view of Quality of Service (QoS) analysis, calling for techniques able to combine traditional oine methods with new ones applied at run-time. Tracking the evolution and updating the assessment consistently with such system evolution require not only advanced analysis methods, but also appropriate metrics well representative of QoS properties in the addressed context. The ongoing European project Connect addresses systems evolution, and aims at bridging technological gaps arising from heterogeneity of networked systems, by synthesising on-the-y interoperability connectors. Moving from such ambitious goal, in this paper we present a metrics framework, whereby classical dependability/QoS metrics can be rened and combined to characterise Connect applications and to support their monitoring and analysis
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Contributor : Emmanuelle Grousset Connect in order to contact the contributor
Submitted on : Tuesday, November 16, 2010 - 6:51:33 PM
Last modification on : Thursday, January 6, 2022 - 5:30:02 PM
Long-term archiving on: : Friday, October 26, 2012 - 3:46:14 PM


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  • HAL Id : inria-00536748, version 1



Antinisca Di Marco, Antonia Bertolino, Felicita Di Giandomenico, Paolo Masci, Antonino Sabetta. Metrics for QoS analysis in dynamic, evolving and heterogeneous CONNECTed systems. WODA 2010 Eighth International Workshop on Dynamic Analysis, Jul 2010, Trento, Italy. ⟨inria-00536748⟩



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