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Title: A proposal of Infrastructure-as-a-Service providers pricing model using linear regression
Authors: Belusso, C. M. L.
Sawicki, S.
Basto-Fernandes, V.
Frantz, R. Z.
Roos-Frantz, F.
Keywords: Cloud Computing
Enterprise Application Integration
Linear Regression
Pricing Model
Issue Date: 2018
Publisher: Editora UPF
Abstract: The increasing demand for companies to reduce the IT infrastructure (on-premise) are driving the adoption of a type of cloud computing category known as Infrastructure-as-a-Service (IaaS) to provide virtualized computing resources over the Internet. However, the choice of an instance of virtual machine whose configuration is able to meet the demands of the company is a complex task, especially concerning the price charged by providers. The lack of transparency of the mechanism of definition of the prices adopted by providers makes difficult the decision-making process, considering the influence of several factors on the final price of the instances, among them the geographical location of the data center. In view of this problem, this work presents a new proposal of price modeling of instances using multiple linear regression model, including the geographical location of the data center as one of variables of the model. To verify the accuracy of the regression model proposed, the calculated prices were compared to real prices charged by IaaS providers Amazon EC2, Google Cloud Platform e Microsoft Azure.
Peer reviewed: yes
DOI: 10.5335/rbca.v10i2.7839
ISSN: 2176-6649
Accession number: WOS:000438995200005
Appears in Collections:ISTAR-RI - Artigos em revistas científicas internacionais com arbitragem científica

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