Fog Computing: An Overview of Big IoT Data Analytics

A huge amount of data, generated by Internet of Things (IoT), is growing up exponentially based on nonstop operational states. Those IoT devices are generating an avalanche of information that is disruptive for predictable data processing and analytics functionality, which is perfectly handled by th...

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Bibliographic Details
Published in:Wireless communications and mobile computing 2018-01, Vol.2018 (2018), p.1-22
Main Authors: Akram, Umair, Jadoon, Ahmer Khan, Azam Zia, Muhammad, Wang, Shangguang, Anwar, Muhammad Rizwan, Raza, Salman
Format: Article
Language:English
Subjects:
Algorithms
Big Data
Cloud computing
Data analysis
Data processing
End users
Internet of Things
Mathematical analysis
Power
Quality of service
Sensors
Servers
Smart grid
Smart grid technology
Smartphones
Vehicles
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Summary:A huge amount of data, generated by Internet of Things (IoT), is growing up exponentially based on nonstop operational states. Those IoT devices are generating an avalanche of information that is disruptive for predictable data processing and analytics functionality, which is perfectly handled by the cloud before explosion growth of IoT. Fog computing structure confronts those disruptions, with powerful complement functionality of cloud framework, based on deployment of micro clouds (fog nodes) at proximity edge of data sources. Particularly big IoT data analytics by fog computing structure is on emerging phase and requires extensive research to produce more proficient knowledge and smart decisions. This survey summarizes the fog challenges and opportunities in the context of big IoT data analytics on fog networking. In addition, it emphasizes that the key characteristics in some proposed research works make the fog computing a suitable platform for new proliferating IoT devices, services, and applications. Most significant fog applications (e.g., health care monitoring, smart cities, connected vehicles, and smart grid) will be discussed here to create a well-organized green computing paradigm to support the next generation of IoT applications.
ISSN:1530-8669
1530-8677
DOI:10.1155/2018/7157192