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Personalized IaaS Services Selection Based on Multi-Criteria Decision Making Approach and Recommender Systems

Authors:
Hamdi Gabsi
Rim Drira
Henda Hajjami Ben Ghezala

Keywords: IaaS services selection; Recommender Systems; Multi-Criteria Decision Making;

Abstract:
Cloud computing is becoming tremendously popular owning to its advantages such as elasticity, availability and on demand computing. Actually, the number of cloud providers and their offered services is rapidly growing, in particular for Infrastructures as a Service (IaaS). A huge number of IaaS providers and services is becoming available with different configuration options including pricing policy, storage capacity and computing performance. Therefore, IaaS provider selection and services configuration require a high level of expertise. For these reasons, we aim to assist beginner users in making educated decisions with regard to the technical needs of their application, their preferences and their previous experiences. To do so, we propose a hybrid approach merging both MultiCriteria Decision Making Methods and Recommender Systems for IaaS provider selection and services configuration. Our solution is implemented in a framework called IaaS Selection Assistant( IaaSSelAss); its effectiveness is demonstrated through an evaluation simulation.

Pages: 5 to 12

Copyright: Copyright (c) IARIA, 2018

Publication date: July 22, 2018

Published in: conference

ISSN: 2308-3972

ISBN: 978-1-61208-651-4

Location: Barcelona, Spain

Dates: from July 22, 2018 to July 26, 2018