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A BRS Based Approach for Modeling Elastic Cloud Systems

Abstract : Elastic behaviors enable Cloud Systems to auto-adapt to their incoming workloads, by provisioning and releasing computing resources, in a way to ensure a controlled compromise between performance and cost-saving requirements. However, due to the highly fluctuating workloads tendencies, it makes it difficult to predict how a cloud system would behave and to provide precise auto-adaptation action plans. In this paper, we propose a BRS (short for Bigraphical Reactive Systems) based approach to provide a formal description for cloud systems structures and their elastic behaviors using bigraphs and bigraphical reaction rules. In addition, elasticity strategies are introduced to encode cloud systems’ auto-adaptation policies. Proposed approach is illustrated and evaluated through an example.
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https://hal-univ-pau.archives-ouvertes.fr/hal-02417541
Contributor : Khaled Khebbeb <>
Submitted on : Wednesday, December 18, 2019 - 11:42:28 AM
Last modification on : Wednesday, March 4, 2020 - 1:46:26 AM

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Khaled Khebbeb, Hamza Sahli, Nabil Hameurlain, Faiza Belala. A BRS Based Approach for Modeling Elastic Cloud Systems. Braubach L. et al. (eds) Service-Oriented Computing – ICSOC 2017 Workshops. ICSOC 2017. Lecture Notes in Computer Science, vol 10797. Springer, Cham, pp.5-17, 2018, ⟨10.1007/978-3-319-91764-1_1⟩. ⟨hal-02417541⟩

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