| Full text | |
| Author(s): Show less - |
de Oliveira, Guilherme Werneck
;
Ney, Rodrigo Toscano
;
Herrera, Juan Luis
;
Batista, Daniel Macedo
;
Hirata, R.
;
Galan-Jimenez, Jaime
;
Berrocal, Javier
;
Murillo, Juan Manuel
;
dos Santos, Aldri Luiz
;
Nogueira, Michele
;
Velazquez, R
Total Authors: 11
|
| Document type: | Journal article |
| Source: | 2021 IEEE LATIN-AMERICAN CONFERENCE ON COMMUNICATIONS (LATINCOM 2021); v. N/A, p. 6-pg., 2021-01-01. |
| Abstract | |
In IoT application scenarios, the response time is one of the attributes that most require attention and, for this reason, the paradigm of decentralized (or fog) computation has gained ground. Moreover, to help reduce the response time of decentralized IoT networks, routing optimization approaches can be employed using software-defined networking (SDN). When both contexts are combined, a new one called SDN-Fog Environments appears. This work presents a solution to predict the response time of Industrial Internet of Things (IIoT) applications using supervised and unsupervised learning for SDN-Fog Environments. Results show that the prediction of the response time of IIoT scenarios was close to the times obtained by solving the problem in the literature. Furthermore, according to the best-performing models, the prediction framework had less than 50 milliseconds of variation, executed in less than one second. (AU) | |
| FAPESP's process: | 14/50937-1 - INCT 2014: on the Internet of the Future |
| Grantee: | Fabio Kon |
| Support Opportunities: | Research Projects - Thematic Grants |
| FAPESP's process: | 15/24485-9 - Future internet for smart cities |
| Grantee: | Fabio Kon |
| Support Opportunities: | Research Projects - Thematic Grants |
| FAPESP's process: | 18/22979-2 - IoT-SED: security and efficiency in data transport on Internet of Things |
| Grantee: | Daniel Macêdo Batista |
| Support Opportunities: | Regular Research Grants |
| FAPESP's process: | 18/23098-0 - MENTORED: from modeling to experimentation - predicting and detecting DDoS and zero-day attacks |
| Grantee: | Michele Nogueira Lima |
| Support Opportunities: | Research Projects - Thematic Grants |