2022
Alves, C.; Chaves, A.; Rodrigues, C.; Ribeiro, E.; Silva, A.; Durães, D.; Machado, J.; Novais, P.
Survey for Big Data Platforms and Resources Management for Smart Cities Proceedings Article
Em: de Pison F. J. Perez Garcia H. Garcia Bringas P., Martinez (Ed.): pp. 393-404, Springer Science and Business Media Deutschland GmbH, 2022, ISSN: 03029743, (cited By 1; Conference of 17th International Conference on Hybrid Artificial Intelligence Systems, HAIS 2022 ; Conference Date: 5 September 2022 Through 7 September 2022; Conference Code:283099).
Resumo | Links | BibTeX | Etiquetas: Big data, Big data platform; Data platform; Data resources; Efficient strategy; Hot topics; Platform management; Privacy; Quality of life; Resource management; Security, Data privacy; Data Science; Information management; Internet of things; Smart city; Surveys
@inproceedings{Alves2022393,
title = {Survey for Big Data Platforms and Resources Management for Smart Cities},
author = {C. Alves and A. Chaves and C. Rodrigues and E. Ribeiro and A. Silva and D. Durães and J. Machado and P. Novais},
editor = {Martinez de Pison F. J. Perez Garcia H. Garcia Bringas P.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85139072493&doi=10.1007%2f978-3-031-15471-3_34&partnerID=40&md5=e9ed3982c3388f81adf3383436500587},
doi = {10.1007/978-3-031-15471-3_34},
issn = {03029743},
year = {2022},
date = {2022-01-01},
journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
volume = {13469 LNAI},
pages = {393-404},
publisher = {Springer Science and Business Media Deutschland GmbH},
abstract = {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. © 2022, Springer Nature Switzerland AG.},
note = {cited By 1; Conference of 17th International Conference on Hybrid Artificial Intelligence Systems, HAIS 2022 ; Conference Date: 5 September 2022 Through 7 September 2022; Conference Code:283099},
keywords = {Big data, Big data platform; Data platform; Data resources; Efficient strategy; Hot topics; Platform management; Privacy; Quality of life; Resource management; Security, Data privacy; Data Science; Information management; Internet of things; Smart city; Surveys},
pubstate = {published},
tppubtype = {inproceedings}
}