Big Data with Cloud Computing: Discussions and Challenges by Amanpreet Kaur Sandhu

“…In this work, the definition, classification, and characteristics of big data are discussed, along with various cloud services, such as Microsoft Azure, Google Cloud, Amazon Web Services, International Business Machine cloud, Hortonworks, and MapR. …”
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Estimation of Water Saturation in Shale Formation Using In Situ Multifrequency Dielectric Permittivity by Yongchae Cho, Sean S. Dolan, Nishank Saxena, Vishal Das

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Penerapan Mekanisme Continuous Deployment dalam Pengembangan dan Pembaruan Perangkat Lunak Sistem Benam Berbasis Internet of Things by Yohanna Fransiska Aladina, Adhitya Bhawiyuga, Reza Andria Siregar, Primantara Hari Trisnawan

“…The implementation is carried out using a text editor, namely Visual Studio Code, a code repository, namely GitHub, a cloud service called Amazon Web Services (AWS), three ESP32s as IoT devices, and Jenkins as tools for continuous deployment that serve as a liaison for code distribution from GitHub to other services. …”
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Impact of Data Centers on Climate Change: A Review of Energy Efficient Strategies by Daniel Raphael Ejike Ewim, Nwakamma Ninduwezuor-Ehiobu, Ochuko Felix Orikpete, Blessed Afeyokalo Egbokhaebho, Akeeb Adepoju Fawole, Chiemela Onunka

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An IoT-Based Hydroponic Monitoring and Control System for Sustainable Food Production by Omolola Ogbolumani, Bonginhlanhla Mabaso

“…Using IoT technologies, we enabled real-time data transmission from sensors to a dedicated web server - Amazon web services (AWS) and an Android mobile application powered by a Raspberry Pi3. …”
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Predicting Short-Term Variations in End-to-End Cloud Data Transfer Throughput Using Neural Networks by Esma Yildirim, Arafat Akon

“…In this project, we collected multivariate time series data from Amazon Web Services (AWS) by conducting intra- and inter-region transfers between storage systems and compute resources using monitoring services. …”
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INSPIRE Datahub: A Pan-African Integrated Suite of Services For Harmonising Longitudinal Population Health Data Using OHDSI Tools. by Bhattacharjee, Tathagata, Kiwuwa-Muyingo, Sylvia, Kanjala, Chifundo, Maoyi, Molulaqhooa L., Amadi, David, Ochola, Michael, Kadengye, Damazo, Gregory, Arofan, Kiragga, Agnes, Amelia, Taylor, Greenfield, Jay, Slaymaker, Emma, Todd, Jim, INSPIRE Network8

“…Operating on Microsoft Azure and Amazon Web Services cloud platforms, and on on-premises servers, the architecture offers adaptability and scalability for other cloud providers and technology infrastructure. …”
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