Abstract
Elasticity, as a key characteristic of Cloud-based systems, allows a rapid adjustment of the allocated resources capacity according to the time-varying workload. However, relying only on elasticity features does not seem sufficient to ensure the quality of service (QoS) requirements of modern applications. Furthermore, uncertainty that emerges while selecting the elasticity policy to be applied in a given context to ensure the desired QoS in cloud-based systems is a challenging task. Hence, the problem to be addressed in the present paper is to define a model allowing cloud architecture to dynamically and efficiently determine the elastic strategy to be applied to ensure QoS contracts in cloud-based systems in the presence of uncertainty. The paper introduces a hybrid approach that combines elasticity advantages and an appropriate mechanism for runtime monitoring and preservation of QoS requirements for cloud-based systems. We mainly focus on non-deterministic selection of the elasticity strategies based on the quality aspects. The formal model implementing our approach is defined using PSMaude which allows specifying nonfunctional requirements, strategies and probabilistic systems features.
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Maatougui, E., Bouanaka, C., Zeghib, N. (2017). Self-adaptive Architecture for Ensuring QoS Contracts in Cloud-Based Systems. In: Ouhammou, Y., Ivanovic, M., Abelló, A., Bellatreche, L. (eds) Model and Data Engineering. MEDI 2017. Lecture Notes in Computer Science(), vol 10563. Springer, Cham. https://doi.org/10.1007/978-3-319-66854-3_10
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DOI: https://doi.org/10.1007/978-3-319-66854-3_10
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