In direction on dealing with timeliness in fog ecosystems: a healthcare case study
| Autor: | Guilherme da Cunha Rodrigues, Tiago Baptista Noronha, Lorenzo de Castro Kersting, Fábio Diniz Rossi, Pedro Guilherme Tassinari Araujo, Luiza Rodrigues Saquette |
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| Rok vydání: | 2020 |
| Předmět: |
business.industry
Computer science Network packet 020207 software engineering Cloud computing 02 engineering and technology Data science Transmission (telecommunications) Work (electrical) Fog computing 020204 information systems Health care 0202 electrical engineering electronic engineering information engineering business Internet of Things Set (psychology) |
| Zdroj: | ICOIN |
| DOI: | 10.1109/icoin48656.2020.9016504 |
| Popis: | The exponential rise in the number of sensors generating data to the cloud services has boosted studies regarding Internet-of-Things (IoT). In this scenario, a huge problem has arisen: How to accurately deal with this growing demand in processing devices to address such amount of data, and consequently send it to the cloudƒ This paper proposes a fog environment as a solution to deal with this limitation. Therefore, this work presents a set of evaluations that help to understand how to pick IoT sensors up based on its capabilities along with the features required by fog customers applications. In other words, it refers to how to deal with timeliness in Fog Computing Environments. The results showed valuable outcomes based on parameters such as effective transmission and packet error which is essential to explain how to choose IoT sensors when dealing with timeliness in fog computing environments. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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