A Multi-criteria Scoring Method based on Performance Indicators for Cloud Computing Provider Selection

Lucas Borges de Moraes, Adriano Fiorese, Fernando Matos

2017

Abstract

Cloud computing is a service model that allows hosting and on demand distribution of computing resources all around the world, via Internet. Thus, cloud computing has become a successful paradigm that has been adopted and incorporated into virtually all major known IT companies (e.g., Google, Amazon, Microsoft). Based on this success, a large number of new companies were competitively created as providers of cloud computing services. This fact hindered the clients’ ability to choose among those several cloud computing providers the most appropriate one to attend their requirements and computing needs. This work aims to specify a logical/mathematical multi-criteria scoring method able to select the most appropriate(s) cloud computing provider(s) to the user (customer), based on the analysis of performance indicator values desired by the customer and associated with every cloud computing provider that supports the demanded requirements. The method is a three stages algorithm that evaluates, scores, sorts and selects different cloud providers based on the utility of their performance indicators for each specific user of the method. An example of the method’s usage is given in order to illustrate its operation.

Paper Citation

in Harvard Style

Borges de Moraes L., Fiorese A. and Matos F. (2017). A Multi-criteria Scoring Method based on Performance Indicators for Cloud Computing Provider Selection . In Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-758-248-6, pages 588-599. DOI: 10.5220/0006289305880599

in Bibtex Style

@conference{iceis17,
author={Lucas Borges de Moraes and Adriano Fiorese and Fernando Matos},
title={A Multi-criteria Scoring Method based on Performance Indicators for Cloud Computing Provider Selection},
booktitle={Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2017},
pages={588-599},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006289305880599},
isbn={978-989-758-248-6},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - A Multi-criteria Scoring Method based on Performance Indicators for Cloud Computing Provider Selection
SN - 978-989-758-248-6
AU - Borges de Moraes L.
AU - Fiorese A.
AU - Matos F.
PY - 2017
SP - 588
EP - 599
DO - 10.5220/0006289305880599