DSpace Repository
Leveraging AWS EMR for scalable and efficient neural network deployment in cloud computing
JavaScript is disabled for your browser. Some features of this site may not work without it.
| 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 |
Files in this item
The following license files are associated with this item:
This item appears in the following Collection(s)
-
2024
The 13th International Conference on Electronics, Communications and Computing (IC ECCO-2024)
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 United States