TY - JOUR
T1 - Big IoT Data Analytics
T2 - Architecture, Opportunities, and Open Research Challenges
AU - Marjani, Mohsen
AU - Nasaruddin, Fariza
AU - Gani, Abdullah
AU - Karim, Ahmad
AU - Hashem, Ibrahim Abaker Targio
AU - Siddiqa, Aisha
AU - Yaqoob, Ibrar
N1 - Funding Information:
This work was supported by the Malaysian Ministry of Higher Education under University Malaya Research Grant (UMRG) Project/Program UM.0000168/HRU.RP.IT and RP029D-14AET.
Publisher Copyright:
© 2013 IEEE.
PY - 2017
Y1 - 2017
N2 - 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.
AB - 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.
KW - Big data
KW - data analytics
KW - distributed computing
KW - Internet of Things
KW - smart city
UR - http://www.scopus.com/inward/record.url?scp=85028044013&partnerID=8YFLogxK
U2 - 10.1109/ACCESS.2017.2689040
DO - 10.1109/ACCESS.2017.2689040
M3 - Article
AN - SCOPUS:85028044013
SN - 2169-3536
VL - 5
SP - 5247
EP - 5261
JO - IEEE Access
JF - IEEE Access
M1 - 7888916
ER -
