An Overview of Fog Data Analytics for IoT Applications

• Published in: Sensors (Basel, Switzerland) Vol. 23; no. 1; p. 199
• Main Authors: Bhatia, Jitendra, Italiya, Kiran, Jadeja, Kuldeepsinh, Kumhar, Malaram, Chauhan, Uttam, Tanwar, Sudeep, Bhavsar, Madhuri, Sharma, Ravi, Manea, Daniela Lucia, Verdes, Marina, Raboaca, Maria Simona
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 24.12.2022; MDPI
• Subjects: 20th century; artificial intelligence; Automation; Big data; blockchain; Cloud computing; Computer architecture; Data analysis; data analytics; Data processing; Decision making; Efficiency; fog computing; Heterogeneity; Internet of Things; Network latency; Paradigms; Radio frequency identification; Review; Robotics; Sensors; Software services; Germany; Romania; Internet of things; fog computing; data analytics; blockchain; artificial intelligence
• ISSN: 1424-8220; 1424-8220
• DOI: 10.3390/s23010199

With the rapid growth in the data and processing over the cloud, it has become easier to access those data. On the other hand, it poses many technical and security challenges to the users of those provisions. Fog computing makes these technical issues manageable to some extent. Fog computing is one of the promising solutions for handling the big data produced by the IoT, which are often security-critical and time-sensitive. Massive IoT data analytics by a fog computing structure is emerging and requires extensive research for more proficient knowledge and smart decisions. Though an advancement in big data analytics is taking place, it does not consider fog data analytics. However, there are many challenges, including heterogeneity, security, accessibility, resource sharing, network communication overhead, the real-time data processing of complex data, etc. This paper explores various research challenges and their solution using the next-generation fog data analytics and IoT networks. We also performed an experimental analysis based on fog computing and cloud architecture. The result shows that fog computing outperforms the cloud in terms of network utilization and latency. Finally, the paper is concluded with future trends.