Towards proactive cross-layer service adaptation

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Abstract

Service-Based Applications (SBAs) enable the automation of business processes. Therefore it is crucial to monitor their non-functional properties and take adaptation actions when QoS violations occur, accross all functional layers. In this paper we propose a framework for the proactive cross-layer adaptation of SBAs. We exploit a cross-layer monitoring mechanism to detect a wide range of events, based on which we can both reactively and proactively adapt the system. In particular, the detection of event patterns help us to prevent future faults and failures from happening, by firing specific, dynamically derived rules, that map event patterns to suitable adaptation strategies. Our framework is validated using a traffic management scenario. © 2012 Springer-Verlag.

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Zeginis, C., Konsolaki, K., Kritikos, K., & Plexousakis, D. (2012). Towards proactive cross-layer service adaptation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7651 LNCS, pp. 704–711). https://doi.org/10.1007/978-3-642-35063-4_56

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