Fog Computing for Intelligent Cloud IoT Systems

12Big IoT Data Analytics in Fog Computing

Manash Kumar Mondal¹*, Riman Mandal² and Utpal Biswas¹

¹ Department of Computer Science and Engineering, University of Kalyani, Kalyani, WB, India

²Department of Computer Science and Engineering, Annasaheb Dange College of Engineering and Technology, Ashta, Sangli, Maharashtra, India

Abstract

IoT data analysis is a significant role in economic growth, social development and people’s life. So, IoT data analysis is the combination of artificial intelligence, machine learning and big data. Fog computing is a way of bringing to market the growing amounts of data gathered for Internet-of-Things (IoT) devices. It works by pooling the computational power from multiple nodes connected through the cloud, each node being able to support the requests generated by its IoT sensors. The more devices you add to the network, the more powerful it becomes, but it has its limits in terms of memory and processing speed. In this chapter, we have discussed a new model by combining these technical methods and it has a strong function in the effective analytics of IoT-generated big data in fog computing environments. This chapter highlights a brief introduction to fog computing, the generation of big data, sources of big data, and how fog computing is used to analyze IoT-generated big data. The chapter also covers the regions of choosing fog computing for big data analytics over the cloud. Additionally, this chapter highlights big data characteristics and ...