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Authors: Lucas Borges de Moraes 1 ; Pedro Cirne 2 ; Fernando Matos 3 ; Rafael Stubs Parpinelli 1 and Adriano Fiorese 1

Affiliations: 1 Santa Catarina State University (UDESC), Brazil ; 2 Instituto de Telecomunicações, Portugal ; 3 Federal University of Paraíba (UFPB)

Keyword(s): Cloud Computing Provider, Data Envelopment Analysis, Performance Indicator, Selection Method, Ranking.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence and Decision Support Systems ; Enterprise Information Systems ; Information Systems Analysis and Specification ; Internet Agents ; Modeling of Distributed Systems ; Software Agents and Internet Computing ; Strategic Decision Support Systems

Abstract: Cloud computing become a successful service model that allows hosting and distribution of computational resources all around the world, via Internet and on demand. This success leveraged and popularized its adoption into all major IT companies. Based on this success, a large number of new companies were competitively created as providers of cloud computing services. This fact can difficult the customer ability to choose among those several cloud providers the most appropriate one to attend their requirements and computing needs. Therefore, this work aims to propose a model capable of selecting and ranking cloud providers according the analysis on the most efficient ones using a popular Multicriteria Decision Analysis (MCDA) method called Data Envelopment Analysis (DEA), that calculates efficiency using Linear Programming (LP) techniques. To accomplish that, the efficiency modeling is based on the analysis of each Performance Indicator (PI) values desired by the customer and the avail able ones in the cloud provider database. An example of the method’s usage is given to illustrate the model operation, selection results and final provider ranking for five hypothetical customer requests and for ten providers. (More)

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Paper citation in several formats:
Borges de Moraes, L.; Cirne, P.; Matos, F.; Stubs Parpinelli, R. and Fiorese, A. (2018). An Efficiency Frontier based Model for Cloud Computing Provider Selection and Ranking. In Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-298-1; ISSN 2184-4992, pages 543-554. DOI: 10.5220/0006775705430554

@conference{iceis18,
author={Lucas {Borges de Moraes}. and Pedro Cirne. and Fernando Matos. and Rafael {Stubs Parpinelli}. and Adriano Fiorese.},
title={An Efficiency Frontier based Model for Cloud Computing Provider Selection and Ranking},
booktitle={Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2018},
pages={543-554},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006775705430554},
isbn={978-989-758-298-1},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - An Efficiency Frontier based Model for Cloud Computing Provider Selection and Ranking
SN - 978-989-758-298-1
IS - 2184-4992
AU - Borges de Moraes, L.
AU - Cirne, P.
AU - Matos, F.
AU - Stubs Parpinelli, R.
AU - Fiorese, A.
PY - 2018
SP - 543
EP - 554
DO - 10.5220/0006775705430554

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