Title: A cloud broker architecture for cloud service selection based on multi-criteria decision making and rough set theory

Authors: Jamal Talbi; Abdelkrim Haqiq

Addresses: Computer, Networks, Mobility and Modeling Laboratory, Department of Mathematics and Computer, FST, Hassan 1st University, Settat, Morocco; e-NGN Research Group, Africa and Middle East, ENSIAS, Rabat, Morocco ' Computer, Networks, Mobility and Modeling Laboratory, Department of Mathematics and Computer, FST, Hassan 1st University, Settat, Morocco; e-NGN Research Group, Africa and Middle East, ENSIAS, Rabat, Morocco

Abstract: Cloud computing is a rising field providing computation resources. It represents a new paradigm of utility computing and enormously growing phenomenon in the present IT industry and economy hype. The companies which provide services to customers are called as cloud service providers. The cloud users (CUs) increase and require secure, reliable and trustworthy cloud service providers (CSPs) from the market. So, it's a challenge for a new user to choose the best provider. In this paper, we propose cloud broker architecture to help a new customer to find out the best CP. This architecture is based on a combination of rough set theory and multi-criteria analysis of some parameters related to the quality of service of the available providers. A mathematical model is used to do this analysis; it integrates multi-agent systems to present an intelligent, distributed and collaborative method in order to add assistance to each actor in cloud computing environment.

Keywords: cloud computing; cloud croker architecture; rough set theory; multi-criteria decision analysis.

DOI: 10.1504/IJCAET.2020.110481

International Journal of Computer Aided Engineering and Technology, 2020 Vol.13 No.4, pp.448 - 464

Received: 06 Mar 2017
Accepted: 12 Feb 2018

Published online: 07 May 2020 *

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