IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Fog Computing in Industrial Internet of Things

Fog Computing in Industrial Internet of Things
View Sample PDF
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

Purchase

View Fog Computing in Industrial Internet of Things on the publisher's website for pricing and purchasing information.

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.

Related Content

Sandhya Avasthi, Tanushree Sanwal, Shivani Sharma, Shweta Roy. © 2023. 23 pages.
Subha Karumban, Shouvik Sanyal, Madan Mohan Laddunuri, Vijayan Dhanasingh Sivalinga, Vidhya Shanmugam, Vijay Bose, Mahesh B. N., Ramakrishna Narasimhaiah, Dhanabalan Thangam, Satheesh Pandian Murugan. © 2023. 17 pages.
Aditya Saxena, Devansh Chauhan, Shilpi Sharma. © 2023. 26 pages.
Eduardo José Villegas-Jaramillo, Mauricio Orozco-Alzate. © 2023. 33 pages.
Revathi A., Poonguzhali S.. © 2023. 18 pages.
Indu Malik, Anurag Singh Baghel. © 2023. 18 pages.
Shanu Sharma, Tushar Chand Kapoor, Misha Kakkar, Rishi Kumar. © 2023. 24 pages.
Body Bottom