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Fog Computing in Industrial Internet of Things
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Author(s): Maniyil Supriya Menon (K. L. University, India)and Rajarajeswari Pothuraju (K. L. University, India)
Copyright: 2021
Pages: 14
Source title:
Innovations in the Industrial Internet of Things (IIoT) and Smart Factory
Source Author(s)/Editor(s): Sam Goundar (British University Vietnam, Vietnam), J. Avanija (Sree Vidyanikethan Engineering College, India), Gurram Sunitha (Sree Vidyanikethan Engineering College, India), K. Reddy Madhavi (Sree Vidyanikethan Engineering College, India)and S. Bharath Bhushan (Sree Vidyanikethan Engineering College, Tirupati, India)
DOI: 10.4018/978-1-7998-3375-8.ch005
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Abstract
Fog computing, often projected as an extension to cloud, renders its design to deal with challenges of traditional cloud-based IoT. Fog enlightens its features of low latency, real-time interaction, location awareness, mobility support, geo-distribution (smart city), etc. over cloud. Fog by nature does not work on cloud instead on a network edge for facilitating higher speeds. Fog pulls down the risk of security attacks. Industrial sector is revolutionized by ever changing technical advancements and IoT, which is a young discipline embraced by industry thereby bringing in IIoT. Fog computing is viable to Industrial processes. IIoT is well supported by the middleware fog computing as industrial process requires most of the task performed locally and securely at end points with minimum delay. Fog, deployed for industrial processes and entities which are part of internet, is gaining importance in recent times being titles as fog for IIoT. Additionally, as industrial big data is often ill structured, it can be polished before sending it to cloud resulting in an enhanced computing.
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