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Online allocation of cloud resources based on security satisfaction

Talal Halabi, Martine Bellaïche et Adel Abusitta

Communication écrite (2018)

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Abstract

Businesses are becoming increasingly interested in exploiting the Cloud Computing technology. However, Cloud insecurity is still among the main factors that are blocking the full migration towards this paradigm. Increasing security investments will speed up the Cloud adoption process and improve the trustworthiness of the Cloud Service Providers (CSP). Moreover, the integration of the security element into the process of resource allocation will help increase the protection of the deployed services. However, this integration requires suitable modeling of customers' security requirements and CSPs' security offerings. To this end, we propose in this paper a broker-based model for the allocation of resources in the Cloud based on service security satisfaction. The resource allocation problem is modeled as a linear optimization problem and solved using an Evolutionary Computation approach, namely, the Genetic Algorithm (GA). The objective is to maximize the global security satisfaction of users' services by placing them on the data centers that adhere the most to their security requirements. Results show that the GA achieves an acceptable approximation of the optimal solution and is computationally efficient, which makes it suitable to function in online mode and cope with the scalability of the Cloud environment.

Mots clés

cloud computing; cloud security; security satisfaction; resource allocation; genetic algorithm

Département: Département de génie informatique et génie logiciel
URL de PolyPublie: https://publications.polymtl.ca/41471/
Nom de la conférence: 17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications and 12th IEEE International Conference on Big Data Science and Engineering (Trustcom/BigDataSE 2018)
Lieu de la conférence: New York, N.Y.
Date(s) de la conférence: 2018-08-01 - 2018-08-03
Maison d'édition: IEEE
DOI: 10.1109/trustcom/bigdatase.2018.00063
URL officielle: https://doi.org/10.1109/trustcom/bigdatase.2018.00...
Date du dépôt: 18 avr. 2023 15:03
Dernière modification: 03 oct. 2023 12:47
Citer en APA 7: Halabi, T., Bellaïche, M., & Abusitta, A. (août 2018). Online allocation of cloud resources based on security satisfaction [Communication écrite]. 17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications and 12th IEEE International Conference on Big Data Science and Engineering (Trustcom/BigDataSE 2018), New York, N.Y.. https://doi.org/10.1109/trustcom/bigdatase.2018.00063

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