Abstract
Cloud computing opens a new dimension and becomes a foundation technology for developing and integrating Web applications offered as cloud services. However, the number of these services is expected to grow in the future, then, it is required for providers to overcome this situation by being able to offer cloud services with several qualities. That is why the cloud services selection is becoming a big challenge. In this paper, we design an optimization approach based on a meta-heuristic by using Cuckoo Search Algorithm (CSA) with a combination with the Lévy flight behavior to solve the optimal service selection optimization problem in the cloud computing environment considering QoS constraints. The proposed algorithm consists of three phases, initialization phase of the initial population then the evaluation of this population and the last phase of the search for relevant services using Lévy flight. A simulation design demonstrates that a strong selection using the CSA can be achieved in the cloud environment.
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Kouchi, S., Nacer, H. (2022). Service Selection in Cloud Computing Environment by Using Cuckoo Search. In: Maleh, Y., Alazab, M., Gherabi, N., Tawalbeh, L., Abd El-Latif, A.A. (eds) Advances in Information, Communication and Cybersecurity. ICI2C 2021. Lecture Notes in Networks and Systems, vol 357. Springer, Cham. https://doi.org/10.1007/978-3-030-91738-8_21
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DOI: https://doi.org/10.1007/978-3-030-91738-8_21
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