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Buyya, R. C. Y., “Cloud compuing and emerging IT platforms,” 2009.

has been cited by the following article:

Article

Optimal Allocation of QoS and Web Services in Cloud Computing

1Department of Science and ICT, American University of Afghanistan & Waseda University, Tokyo, Japan (Joint Research Work)

2Department of ICT, American University of Afghanistan, Kabul, Afghanistan

3Japan International Cooperation Agency (JICA), Headquarter, Kabul, Afghanistan

4Department of Applied Mathematics, University of Yaounde, Cameron


American Journal of Information Systems. 2018, Vol. 6 No. 1, 23-28
DOI: 10.12691/ajis-6-1-4
Copyright © 2018 Science and Education Publishing

Cite this paper:
Jimbo Claver, Edris Hamraz, Jawad Azimi, Charles Owona. Optimal Allocation of QoS and Web Services in Cloud Computing. American Journal of Information Systems. 2018; 6(1):23-28. doi: 10.12691/ajis-6-1-4.

Correspondence to: Jimbo  Claver, Department of Science and ICT, American University of Afghanistan & Waseda University, Tokyo, Japan (Joint Research Work). Email: jimbo.maths@gmail.com

Abstract

Cloud computing is a great model of demand and supply in information communication and services. It represents a complex infrastructure and provides a dynamic, distributed, heterogeneous and autonomous platform for solving problems in business, science and technology. This paper proposes a cloud computing environment that supports dynamic application service composition model. We develop a Quality of Service (QoS) based framework for effective web services allocation. In computing, the service consumer is projected to provide the QoS requirements as part of service discovery query. The cloud as marketplace for trading instances of web services can be bought or leased by web applications. We found that using dynamic decision-making management approach relaying on dynamic portfolio allocation model mainly used in finance, one can achieve the purpose of saving resources by reducing costs of quality of services and eliminating risks related to different services simultaneously.

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