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Rachana Jannapureddy, Quoc-Tuan Vien, Purav Shah and Ramona Trestian
Processing big data on traditional computing infrastructure is a challenge as the volume of data is large and thus high computational complexity. Recently, Apache Hadoop has emerged as a distributed computing infrastructure to deal with big data. Adoptin...
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Francisco Palacios, Mitchell Vásquez Bermúdez, Fausto Orozco, Diana Espinoza Villón
Pág. 128 - 133
Este trabajo lleva a cabo una investigación relacionada con la aplicabilidad de VoIP sobre Cloud Computing para garantizar la estabilidad del servicio y la elasticidad de las organizaciones. En este documento, Elastix se utiliza como un software de códig...
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Kwangseob Kim and Kiwon Lee
This study introduces a multi-cloud model that combines private and public cloud services for processing and managing satellite images. The multi-cloud service is established by incorporating private clouds within organizations and integrating them with ...
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George Fragiadakis, Evangelia Filiopoulou, Christos Michalakelis, Thomas Kamalakis and Mara Nikolaidou
When exploring alternative cloud solution designs, it is important to also consider cost. Thus, having a comprehensive view of the cloud market and future price evolution allows well-informed decisions to choose between alternatives. Cloud providers offe...
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Ivan Vorobevskii, Rico Kronenberg and Christian Bernhofer
The number of global open-source hydrometeorological datasets and models is large and growing. However, with a constantly growing demand for services and tools from stakeholders, not only in the water sector, we still lack simple solutions, which are eas...
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Chattavut Peechapol,Jaitip Na-Songkhla,Siridej Sujiva,Arthorn Luangsodsai
Pág. pp. 135 - 151
This study was conducted to develop a smartphone application to enhance self-efficacy for online learning. The theory of planned behaviour (TPB) was used as a framework for developing the smartphone app. The study used research and design (R&D) through t...
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