Price Modeling of IaaS Providers - An Approach Focused on Enterprise Application Integration

Cássio L. M. Belusso, Sandro Sawicki, Vitor Basto-Fernandes, Rafael Z. Frantz, Fabricia Roos-Frantz

2017

Abstract

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 Infrastructure-as-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 pre-established 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.

References

  1. Al-Roomi, M., Al-Ebrahim, S., Buqrais, S., and Ahmad, I. (2013). Cloud computing pricing models: A survey. International Journal of Grid and Distributed Computing, 6(5):93-106.
  2. Amazon (2016). Amazon web services. https://aws.amazon.com/. Acesso em: 28/12/2016. (2016). Microsoft windows https://azure.com/. Acesso em: 24/12/2016.
  3. Chun, S. and Choi, B. (2014). Service models and pricing schemes for cloud computing. Cluster Computing, 17(2):529-535.
  4. Frantz, R. Z., Corchuelo, R., and Roos-Frantz, F. (2016). On the design of a maintainable software development kit to implement integration solutions. The Journal of Systems and Software, 111:89-104.
  5. Google (2016). Google cloud plataform. https://cloud.google.com/. Acesso em: 25/12/2016.
  6. Hernández, I., Sawicki, S., Roos-Frantz, F., and Frantz, R. Z. (2015). Cloud configuration modelling: a literature review from an application integration deployment perspective. Procedia Computer Science, 64:977-983.
  7. Kihal, S. E., Schlereth, C., and Skiera, B. (2012). Price comparasion for Infrastructure-as-a-Service. In European Conference on Information Systems. ResearchGate.
  8. Mazrekaj, A., Shabani, I., and Sejdiu, B. (2016). Pricing schemes in cloud computing: an overview. International Journal of Advanced Computer Science and Application, 7(2):80-86.
  9. Mitropoulou, P., Filiopoulou, E., Michalakelis, C., and Nikolaidou, M. (2016). Pricing cloud IaaS services based on a hedonic price index. Computing, pages 1-15.
  10. Murthy, M. K. M., Sanjay, H. A., and Padmanabha, A. J. (2012). Pricing models and pricing schemes of IaaS providers: a comparison study. In Proceedings of the International Conference on Advances in Computing, Communications and Informatics, pages 143- 147. ACM.
  11. Rodamilans, C. B. (2014). Uma metodologia para caracterizac¸ a˜o de aplicac¸ o˜es e de instaˆncias de máquinas virtuais no ambiente de computac¸a˜o em nuvem. Tese de doutorado, Escola Politécnica da Universidade de Sa˜o Paulo, Sa˜o Paulo.
  12. Wonnacott, T. H. and Wonnacott, R. J. (1990). Introductory Statistics for Business and Economics. John Wiley & Sons, New York, 4th edition.
Download


Paper Citation


in Harvard Style

Belusso C., Sawicki S., Basto-Fernandes V., Frantz R. and Roos-Frantz F. (2017). Price Modeling of IaaS Providers - An Approach Focused on Enterprise Application Integration . In Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-247-9, pages 371-376. DOI: 10.5220/0006371603710376


in Bibtex Style

@conference{iceis17,
author={Cássio L. M. Belusso and Sandro Sawicki and Vitor Basto-Fernandes and Rafael Z. Frantz and Fabricia Roos-Frantz},
title={Price Modeling of IaaS Providers - An Approach Focused on Enterprise Application Integration},
booktitle={Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2017},
pages={371-376},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006371603710376},
isbn={978-989-758-247-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Price Modeling of IaaS Providers - An Approach Focused on Enterprise Application Integration
SN - 978-989-758-247-9
AU - Belusso C.
AU - Sawicki S.
AU - Basto-Fernandes V.
AU - Frantz R.
AU - Roos-Frantz F.
PY - 2017
SP - 371
EP - 376
DO - 10.5220/0006371603710376