Abstract
Ensuring resilience of large data stores in the cloud is a challenging engineering issue. It requires the development techniques that allow the designers to predict the main resilience characteristics — fault tolerance and performance — at the early design stages. In this paper, we experiment with integrating Event-B modelling with discrete-event simulation. Event-B allows us to reason about correctness and data integrity properties of data stores, while discrete-event simulation in SimPy enables quantitative assessment of performance and reliability. Since testing in a real cloud environment is expensive and time-consuming, the proposed approach offers several benefits in industrial settings.
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Laibinis, L., Byholm, B., Pereverzeva, I., Troubitsyna, E., Eeik Tan, K., Porres, I. (2014). Integrating Event-B Modelling and Discrete-Event Simulation to Analyse Resilience of Data Stores in the Cloud. In: Albert, E., Sekerinski, E. (eds) Integrated Formal Methods. IFM 2014. Lecture Notes in Computer Science(), vol 8739. Springer, Cham. https://doi.org/10.1007/978-3-319-10181-1_7
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DOI: https://doi.org/10.1007/978-3-319-10181-1_7
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