IoT-Based Big Data Storage Systems in Cloud Computing: Perspectives and Challenges
By Hongming Cai, Boyi Xu, Lihong Jiang, Athanasios V. Vasilakos. IEEE Internet of Things Journal, 2017
510 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Information Systems
View Paper: https://www.semanticscholar.org/paper/afe3e7d85e3eb46fe23f64518bb5f7006d5b1b84
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- H. Hua
- Tiago M. Fernández-Caramés
- Paula Fraga-Lamas
- Junwei Cao
- Neil D. Lawrence
- Attila Kertész
- Ondrej Krejcar
- Yutong Li
In Information Systems
- Andrei Paleyes
- Tiago M. Fernández-Caramés
- Paula Fraga-Lamas
- Neil D. Lawrence
- Attila Kertész
- Ondrej Krejcar
- Raoul-Gabriel Urma
- Ayca Kirimtat
Citations in the corpus
- Challenges in Deploying Machine Learning: A Survey of Case Studies (2020, background): “[19] for further discussion of big data storage.”
- A Review on the Use of Blockchain for the Internet of Things (2018, background): “Some IoT applications [43], [44] may need to keep a record of every transaction to maintain traceability, for auditing purposes or because Big Data techniques will be applied later [45], [46].”
- Future Trends and Current State of Smart City Concepts: A Survey (2020, background): “Cloud-driven IoT-based big data have some advantages, and its role provides some opportunities [98]–[100].”
- Edge Computing with Artificial Intelligence: A Machine Learning Perspective (2022, background): “Some survey shows that only one third of the data obtained by most sensors are correct [23].”