American Journal of Information Systems
ISSN (Print): 2374-1953 ISSN (Online): 2374-1988 Website: Editor-in-chief: Sergii Kavun
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American Journal of Information Systems. 2018, 6(1), 23-28
DOI: 10.12691/ajis-6-1-4
Open AccessArticle

Optimal Allocation of QoS and Web Services in Cloud Computing

Jimbo Claver1, , Edris Hamraz2, Jawad Azimi3 and Charles Owona4

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

Pub. Date: May 08, 2018

Cite this paper:
Jimbo Claver, Edris Hamraz, Jawad Azimi and 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


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.

Cloud computing Quality of Service (QoS) web services information systems workflow data mining modeling simulation dynamic allocation optimization decision management risk computing and applications

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