| Title |
Big IoT Data Analytics: Architecture, Opportunities, and Open Research Challenges |
| ID_Doc |
44758 |
| Authors |
Marjani, M; Nasaruddin, F; Gani, A; Karim, A; Hashem, IAT; Siddiqa, A; Yaqoob, I |
| Title |
Big IoT Data Analytics: Architecture, Opportunities, and Open Research Challenges |
| Year |
2017 |
| Published |
|
| DOI |
10.1109/ACCESS.2017.2689040 |
| Abstract |
Voluminous amounts of data have been produced, since the past decade as the miniaturization of Internet of things (IoT) devices increases. However, such data are not useful without analytic power. Numerous big data, IoT, and analytics solutions have enabled people to obtain valuable insight into large data generated by IoT devices. However, these solutions are still in their infancy, and the domain lacks a comprehensive survey. This paper investigates the state-of-the-art research efforts directed toward big IoT data analytics. The relationship between big data analytics and IoT is explained. Moreover, this paper adds value by proposing a new architecture for big IoT data analytics. Furthermore, big IoT data analytic types, methods, and technologies for big data mining are discussed. Numerous notable use cases are also presented. Several opportunities brought by data analytics in IoT paradigm are then discussed. Finally, open research challenges, such as privacy, big data mining, visualization, and integration, are presented as future research directions. |
| Author Keywords |
Big data; Internet of Things; data analytics; distributed computing; smart city |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI) |
| EID |
WOS:000401431300021 |
| WoS Category |
Computer Science, Information Systems; Engineering, Electrical & Electronic; Telecommunications |
| Research Area |
Computer Science; Engineering; Telecommunications |
| PDF |
https://doi.org/10.1109/access.2017.2689040
|