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Belusso, C. L. M., Sawicki, S., Basto-Fernandes, V., Frantz, R. Z. & Roos-Frantz, F. (2017). Price modeling of IaaS providers - An approach focused on enterprise application integration. In Filipe J.,Hammoudi S.,Smialek M.,Camp O.,Filipe J. (Ed.), Proceedings of the 19th International Conference on Enterprise Information Systems. (pp. 371-376). Porto: SCITEPRESS - Science and Technology Publications.

B. C. M. et al.,  "Price modeling of IaaS providers - An approach focused on enterprise application integration", in Proc. of the 19th Int. Conf. on Enterprise Information Systems, Filipe J.,Hammoudi S.,Smialek M.,Camp O.,Filipe J., Ed., Porto, SCITEPRESS - Science and Technology Publications, 2017, pp. 371-376

@inproceedings{m.2017_1775817577662,
	author = "Belusso, C. L. M. and Sawicki, S. and Basto-Fernandes, V. and Frantz, R. Z. and Roos-Frantz, F.",
	title = "Price modeling of IaaS providers - An approach focused on enterprise application integration",
	booktitle = "Proceedings of the 19th International Conference on Enterprise Information Systems",
	year = "2017",
	editor = "Filipe J.,Hammoudi S.,Smialek M.,Camp O.,Filipe J.",
	volume = "",
	number = "",
	series = "",
	doi = "10.5220/0006371603710376",
	pages = "371-376",
	publisher = "SCITEPRESS - Science and Technology Publications",
	address = "Porto",
	organization = "",
	url = "http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0006371603710376"
}

TY  - CPAPER
TI  - Price modeling of IaaS providers - An approach focused on enterprise application integration
T2  - Proceedings of the 19th International Conference on Enterprise Information Systems
AU  - Belusso, C. L. M.
AU  - Sawicki, S.
AU  - Basto-Fernandes, V.
AU  - Frantz, R. Z.
AU  - Roos-Frantz, F.
PY  - 2017
SP  - 371-376
DO  - 10.5220/0006371603710376
CY  - Porto
UR  - http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0006371603710376
AB  - One of the main advances in information technology today is cloud computing. It is a great alternative for users to reduce costs related to the need to acquire and maintain computational infrastructure to develop, implement and execute software applications. Cloud computing services are offered by providers and can be classified into three main modalities: Platform-as-a-Service (PaaS), Software-as-a-Service (SaaS) and Infrastructureas-a-Service (IaaS). In IaaS, the user has a virtual machine at their disposal with the desired computational resources at a given cost. Generally, the providers offer infrastructure services divided into instances, with preestablished configurations. The main challenge faced by companies is to choose the instance that best fits their needs among the many options offered by providers. Frequently, these companies need a large computational infrastructure to manage and improve their business processes and, due to the high cost of maintaining local infrastructure, they have begun to migrate applications to the cloud in order to reduce these costs. In this paper, we introduce a proposal for price modeling of instances of virtual machines using linear regression. This approach analyzes a set of simplified hypotheses considering the following providers: Amazon EC2, Google Compute Engine and Microsoft Windows Azure.
ER  -