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Authors: Boukar Abatchia Nicolas ; Mahamadou Issoufou Tiado ; Nassirou Adamou Hassane and Ibrahim Ganaou Noura

Affiliation: Department of Mathematics and Computer Science, Research Team on Network and Tele-communication, University of Abdou Moumouni, BP 10662 Niamey, Niger

Keyword(s): Distance Education, GSM, DOUNG, QoS, Cloud Computing.

Abstract: The interconnection between the Internet and the telecommunication networks brings to the advent of the new generation of digital open universities (DOUNG). That recent model was improved through many additional works including the extension of its architecture from the Local Area Network (LAN) to the Internet and to the GSM (Global System for Mobile communications) environment. This hybrid architecture leads to several connections with the goal to achieve a good level of Quality of Service (QoS). One solution belongs to the using of clouds with the issue of choosing a diffusion method adapted to this new context. In this paper, a comparative study of flow distribution methods is conduct through dissemination issue and simulations. We extend that work with the cloud contribution assessment including scales evaluation. All results for vertical and horizontal scaling and for the unicast and multicast methods are produced and discussed.

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Paper citation in several formats:
Nicolas, B. A., Tiado, M. I., Hassane, N. A. and Noura, I. G. (2022). Evaluation by Simulation of the Diffusion Methods in the Cloud: Based Network Architecture for Digital Open Universities. In Proceedings of the 11th International Conference on Data Science, Technology and Applications - DATA; ISBN 978-989-758-583-8; ISSN 2184-285X, SciTePress, pages 276-280. DOI: 10.5220/0011236900003269

@conference{data22,
author={Boukar Abatchia Nicolas and Mahamadou Issoufou Tiado and Nassirou Adamou Hassane and Ibrahim Ganaou Noura},
title={Evaluation by Simulation of the Diffusion Methods in the Cloud: Based Network Architecture for Digital Open Universities},
booktitle={Proceedings of the 11th International Conference on Data Science, Technology and Applications - DATA},
year={2022},
pages={276-280},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011236900003269},
isbn={978-989-758-583-8},
issn={2184-285X},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Data Science, Technology and Applications - DATA
TI - Evaluation by Simulation of the Diffusion Methods in the Cloud: Based Network Architecture for Digital Open Universities
SN - 978-989-758-583-8
IS - 2184-285X
AU - Nicolas, B.
AU - Tiado, M.
AU - Hassane, N.
AU - Noura, I.
PY - 2022
SP - 276
EP - 280
DO - 10.5220/0011236900003269
PB - SciTePress