Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/86372| Título: | Survey for big data platforms and resources management for smart cities |
| Autor(es): | Alves, Carlos Manuel Ferreira Chaves, António Rodrigues, Carla Ribeiro, Eduarda Silva, António José Linhares Durães, Dalila Machado, José Manuel Novais, Paulo |
| Palavras-chave: | Big data platform Data science Internet of Things Privacy Security |
| Data: | 2022 |
| Editora: | Springer, Cham |
| Revista: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Citação: | Alves, C. et al. (2022). Survey for Big Data Platforms and Resources Management for Smart Cities. In: García Bringas, P., et al. Hybrid Artificial Intelligent Systems. HAIS 2022. Lecture Notes in Computer Science(), vol 13469. Springer, Cham. https://doi.org/10.1007/978-3-031-15471-3_34 |
| Resumo(s): | Currently, smart cities are a hot topic and their tendency will be to optimize resources and promote efficient strategies for the preservation of the planet as well as to increase the quality of life of its inhabitants. In this sense, this research presents an initial component of investigation about Big Data Platforms for Smart Cities in order to be implemented in integrated and innovative solutions for development in urban centers. For this, a survey was carried out on “Big Data Platforms”, “Data Science Platforms”, “Security & Privacy” and “Resources Management”. The extraction of the results of this research was done through the SCOPUS repository in articles from the last 5 years to conclude what has been done so far and what will be the trends in the coming years, define proposals for possible solutions for smart cities and identify the right technologies for the design of a smart city architecture. |
| Tipo: | Artigo em ata de conferência |
| URI: | https://hdl.handle.net/1822/86372 |
| ISBN: | 978-3-031-15470-6 |
| e-ISBN: | 978-3-031-15471-3 |
| DOI: | 10.1007/978-3-031-15471-3_34 |
| ISSN: | 0302-9743 |
| Versão da editora: | https://link.springer.com/chapter/10.1007/978-3-031-15471-3_34 |
| Arbitragem científica: | yes |
| Acesso: | Acesso restrito UMinho |
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Ficheiros deste registo:
| Ficheiro | Descrição | Tamanho | Formato | |
|---|---|---|---|---|
| HAIS32.pdf Acesso restrito! | 344,25 kB | Adobe PDF | Ver/Abrir |
