Publications Scientifiques

[ Article ] Predicting resource requirements of the servers into cloud datacenters using neural networks

Date de soumission: 21-02-2018
Année de Publication: 2017
Entité/Laboratoire Laboratoire de Recherche en Sciences Informatiques et Applications (LRSIA)
Document type : Article
Discipline(s) : Sciences Informatiques
Titre Predicting resource requirements of the servers into cloud datacenters using neural networks
Auteurs Gbaguidi Fréjus Roméo [1], Selma Boumerdassi [2], EZIN C. Eugène [3],
Journal: e-society 2017
Catégorie Journal: Internationale
Impact factor: 0
Volume Journal: 1
DOI:
Resume This paper presents a pilot field research on the user experience of very young students (6-7 years old) with video content accessed via different technological devices. Preferences, uses and practices by the pupils of the first two year classes of the primary school of a comprehensive institute (primary and lower secondary school) in Rome, Italy, have been investigated in the framework of the original methodology KidLab Media Research, an innovative approach for field studies on younger users. Taking into considerations the peculiar characteristics of very young audiences, ad hoc tools have been employed in the two classrooms: collective interviews, role playing, simplified questionnaires and yes/no cards. In this way, interaction has taken place with the pupils, their teachers and their parents and with the school psychologist. Both qualitative and quantitative results of this experimental test research on motivations and behaviours of these younger members of the population are shown. Due to the limited size of the considered sample, emphasis is given to the methodology followed, which encompasses the exploration of dynamics of adoption and use, attitudes and cultural patterns, user profiles, purchase intentions, consumptions, psychological and social risk.
Mots clés DataCenter, Cloud, Prediction, Energy consumption
Pages 129 - 136
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