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Processing IoT Data: From Cloud to Fog—It's Time to Be Down to Earth
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Author(s): Pijush Kanti Dutta Pramanik (National Institute of Technology Durgapur, India), Saurabh Pal (Bengal Institute of Technology, India), Aditya Brahmachari (National Institute of Technology Durgapur, India)and Prasenjit Choudhury (National Institute of Technology Durgapur, India)
Copyright: 2018
Pages: 25
Source title:
Applications of Security, Mobile, Analytic, and Cloud (SMAC) Technologies for Effective Information Processing and Management
Source Author(s)/Editor(s): P. Karthikeyan (Thiagarajar College of Engineering, India)and M. Thangavel (Thiagarajar College of Engineering, India)
DOI: 10.4018/978-1-5225-4044-1.ch007
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Abstract
This chapter describes how traditionally, Cloud Computing has been used for processing Internet of Things (IoT) data. This works fine for the analytical and batch processing jobs. But most of the IoT applications demand real-time response which cannot be achieved through Cloud Computing mainly because of inherent latency. Fog Computing solves this problem by offering cloud-like services at the edge of the network. The computationally powerful edge devices have enabled realising this idea. Witnessing the exponential rise of IoT applications, Fog Computing deserves an in-depth exploration. This chapter establishes the need for Fog Computing for processing IoT data. Readers will be able to gain a fair comprehension of the various aspects of Fog Computing. The benefits, challenges and applications of Fog Computing with respect to IoT have been mentioned elaboratively. An architecture for IoT data processing is presented. A thorough comparison between Cloud and Fog has been portrayed. Also, a detailed discussion has been depicted on how the IoT, Fog, and Cloud interact among them.
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