Abstract
This paper presents a multi-cloud approach to optimize computing resources. We dealt with an optimization problem with two objectives: The duration and the payment cost of application execution. Our goal is to propose a multi-cloud solution while ensuring equitability between the two objectives. For that we used a Dynamic Genetic Algorithm (DGA) approach. Our approach even offers solutions that combine between resources of several clouds for running the same application, from where it comes its multi-cloud feature. The obtained results have shown that it is important to consider the multi-cloud in this kind of problems.
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Mokhtari, A., Azizi, M., Gabli, M. (2019). Multi-cloud Resources Optimization for Users Applications Execution. In: Rocha, Á., Serrhini, M. (eds) Information Systems and Technologies to Support Learning. EMENA-ISTL 2018. Smart Innovation, Systems and Technologies, vol 111. Springer, Cham. https://doi.org/10.1007/978-3-030-03577-8_64
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DOI: https://doi.org/10.1007/978-3-030-03577-8_64
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