Paper Info
Title
Big IoT Data Analytics: Architecture, Opportunities, and Open Research Challenges.
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.
Year
DOI
Venue
2017
10.1109/ACCESS.2017.2689040
IEEE ACCESS
Keywords
Field
DocType
Big data,Internet of Things,data analytics,distributed computing,smart city
Open research,Architecture,World Wide Web,Use case,Data analysis,Computer science,Visualization,Smart city,Analytics,Big data
Journal
Volume
ISSN
Citations 
5
2169-3536
32
PageRank 
References 
Authors
1.11
42
7
Name
Order
Citations
PageRank
Mohsen Marjani1422.91
Fariza Hanum Nasaruddin21036.54
Abdullah Gani3188791.22
Ahmad Karim41048.35
Ibrahim Abaker Targio Hashem546121.85
Aisha Siddiqa61145.49
Ibrar Yaqoob769230.84