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Leveraging AWS EMR for scalable and efficient neural network deployment in cloud computing

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dc.contributor.author KYRYCHENKO, Yevhen
dc.contributor.author MALYK, Ihor
dc.date.accessioned 2024-12-07T16:52:00Z
dc.date.available 2024-12-07T16:52:00Z
dc.date.issued 2024
dc.identifier.citation KYRYCHENKO, Yevhen and Ihor MALYK. Leveraging AWS EMR for scalable and efficient neural network deployment in cloud computing. In: Electronics, Communications and Computing (IC ECCO-2024): The conference program and abstract book: 13th intern. conf., Chişinău, 17-18 Oct. 2024. Technical University of Moldova. Chişinău: Tehnica-UTM, 2024, pp. 128-129. ISBN 978-9975-64-480-8 (PDF). en_US
dc.identifier.isbn 978-9975-64-480-8
dc.identifier.uri http://repository.utm.md/handle/5014/28780
dc.description Only Abstract en_US
dc.description.abstract This research investigates the potential of AWS Elastic MapReduce (EMR) as a cloud-based solution for building and deploying neural networks, focusing on its performance, scalability, and flexibility compared to traditional on-premises systems. The study offers a comparative analysis of stochastic neural networks deployed using AWS EMR Serverless, with financial data from Google Finance used to assess model performance through the Root Mean Square Error (RMSE) metric. The results highlight the advantages of cloudbased machine learning, particularly in handling large-scale datasets. en_US
dc.language.iso en en_US
dc.publisher Technical University of Moldova en_US
dc.relation.ispartofseries Electronics, Communications and Computing (IC ECCO-2024): 13th intern. conf., 17-18 Oct. 2024;
dc.rights Attribution-NonCommercial-NoDerivs 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.subject cloud computing en_US
dc.subject analytical research en_US
dc.subject cloud technologies en_US
dc.subject serverless architecture en_US
dc.subject elastic MapReduce en_US
dc.subject neural networks en_US
dc.subject web service en_US
dc.title Leveraging AWS EMR for scalable and efficient neural network deployment in cloud computing en_US
dc.type Article en_US


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  • 2024
    The 13th International Conference on Electronics, Communications and Computing (IC ECCO-2024)

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Attribution-NonCommercial-NoDerivs 3.0 United States Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 United States

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