Big IoT Data Analytics: Architecture, Opportunities, and Open Research Challenges
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 lar...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2017-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/7888916/ |
| _version_ | 1818379606651043840 |
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| author | Mohsen Marjani Fariza Nasaruddin Abdullah Gani Ahmad Karim Ibrahim Abaker Targio Hashem Aisha Siddiqa Ibrar Yaqoob |
| author_facet | Mohsen Marjani Fariza Nasaruddin Abdullah Gani Ahmad Karim Ibrahim Abaker Targio Hashem Aisha Siddiqa Ibrar Yaqoob |
| author_sort | Mohsen Marjani |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-14T02:05:28Z |
| format | Article |
| id | doaj.art-aff9e16dbc2e4ae2b0f42ea35a25bab7 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-14T02:05:28Z |
| publishDate | 2017-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-aff9e16dbc2e4ae2b0f42ea35a25bab72022-12-21T23:20:54ZengIEEEIEEE Access2169-35362017-01-0155247526110.1109/ACCESS.2017.26890407888916Big IoT Data Analytics: Architecture, Opportunities, and Open Research ChallengesMohsen Marjani0https://orcid.org/0000-0001-7611-9540Fariza Nasaruddin1Abdullah Gani2Ahmad Karim3Ibrahim Abaker Targio Hashem4https://orcid.org/0000-0001-7611-9540Aisha Siddiqa5Ibrar Yaqoob6https://orcid.org/0000-0002-8438-3429Department of Computer System and Technology, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, MalaysiaDepartment of Information System, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, MalaysiaDepartment of Computer System and Technology, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, MalaysiaDepartment of Information Technology, Bahauddin Zakariya University, Multan, PakistanDepartment of Computer System and Technology, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, MalaysiaDepartment of Computer System and Technology, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, MalaysiaDepartment of Computer System and Technology, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, MalaysiaVoluminous 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.https://ieeexplore.ieee.org/document/7888916/Big dataInternet of Thingsdata analyticsdistributed computingsmart city |
| spellingShingle | Mohsen Marjani Fariza Nasaruddin Abdullah Gani Ahmad Karim Ibrahim Abaker Targio Hashem Aisha Siddiqa Ibrar Yaqoob Big IoT Data Analytics: Architecture, Opportunities, and Open Research Challenges IEEE Access Big data Internet of Things data analytics distributed computing smart city |
| title | Big IoT Data Analytics: Architecture, Opportunities, and Open Research Challenges |
| title_full | Big IoT Data Analytics: Architecture, Opportunities, and Open Research Challenges |
| title_fullStr | Big IoT Data Analytics: Architecture, Opportunities, and Open Research Challenges |
| title_full_unstemmed | Big IoT Data Analytics: Architecture, Opportunities, and Open Research Challenges |
| title_short | Big IoT Data Analytics: Architecture, Opportunities, and Open Research Challenges |
| title_sort | big iot data analytics architecture opportunities and open research challenges |
| topic | Big data Internet of Things data analytics distributed computing smart city |
| url | https://ieeexplore.ieee.org/document/7888916/ |
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