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The Challenges, Technologies, and Role of Fog Computing in the Context of Industrial Internet of Things

The Challenges, Technologies, and Role of Fog Computing in the Context of Industrial Internet of Things

Sasikala Chinthakunta, Shoba Bindu Chigarapalle, Sudheer Kumar E.
Copyright: © 2021 |Pages: 16
ISBN13: 9781799833758|ISBN10: 1799833755|ISBN13 Softcover: 9781799833765|EISBN13: 9781799833772
DOI: 10.4018/978-1-7998-3375-8.ch001
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MLA

Chinthakunta, Sasikala, et al. "The Challenges, Technologies, and Role of Fog Computing in the Context of Industrial Internet of Things." Innovations in the Industrial Internet of Things (IIoT) and Smart Factory, edited by Sam Goundar, et al., IGI Global, 2021, pp. 1-16. https://doi.org/10.4018/978-1-7998-3375-8.ch001

APA

Chinthakunta, S., Chigarapalle, S. B., & E., S. K. (2021). The Challenges, Technologies, and Role of Fog Computing in the Context of Industrial Internet of Things. In S. Goundar, J. Avanija, G. Sunitha, K. Madhavi, & S. Bhushan (Eds.), Innovations in the Industrial Internet of Things (IIoT) and Smart Factory (pp. 1-16). IGI Global. https://doi.org/10.4018/978-1-7998-3375-8.ch001

Chicago

Chinthakunta, Sasikala, Shoba Bindu Chigarapalle, and Sudheer Kumar E. "The Challenges, Technologies, and Role of Fog Computing in the Context of Industrial Internet of Things." In Innovations in the Industrial Internet of Things (IIoT) and Smart Factory, edited by Sam Goundar, et al., 1-16. Hershey, PA: IGI Global, 2021. https://doi.org/10.4018/978-1-7998-3375-8.ch001

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Abstract

Typically, the analysis of the industrial big data is done at the cloud. If the technology of IIoT is relying on cloud, data from the billions of internet-connected devices are voluminous and demand to be processed within the cloud DCs. Most of the IoT infrastructures—smart driving and car parking systems, smart vehicular traffic management systems, and smart grids—are observed to demand low-latency, real-time services from the service providers. Since cloud includes data storage, processing, and computation only within DCs, huge data traffic generated from the IoT devices probably experience a network bottleneck, high service latency, and poor quality of service (QoS). Hence, the placement of an intermediary node that can perform tasks efficiently and effectively is an unavoidable requirement of IIoT. Fog can be such an intermediary node because of its ability and location to perform tasks at the premise of an industry in a timely manner. This chapter discusses challenges, need, and framework of fog computing, security issues, and solutions of fog computing for IIoT.

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