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A Study on Optimal Framework with Fog Computing for Smart City

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Smart IoT for Research and Industry

Part of the book series: EAI/Springer Innovations in Communication and Computing ((EAISICC))

Abstract

Mobile users are increasing rapidly and having high requisition of location-based and localized information. To require localized information from the cloud can lead to incompetent resource utilization and costly process. Localized information can be retrieved through local resources only. This encourages the use of fog computing. Fog computing can be renamed as edge computing; it is an extension of cloud computing. Fog computing transmits information to the mobile user at a fast rate. Fog is the layer closer to the end user. Fog edges have the computing capacity, storage capacity, and networking resources for end user devices. This study proposed the fog computing techniques and the models for minimizing the overall latency while placing the data on the fog. In the current scenario, to reduce the delay tradeoff when the task is offloading, it requires to examine the QoS parameters that improve the performance of fog computing.

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Authors and Affiliations

  1. School of Engineering and Technology, ITM University, Gwalior, India

    Govind Murari Upadhyay & Shashikant Gupta

Authors
  1. Govind Murari Upadhyay
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  2. Shashikant Gupta
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Editor information

Editors and Affiliations

  1. Department of Computer Science, San Jose State University, San Jose, CA, USA

    Melody Moh

  2. GL Bajaj Group of Institutions Mathura, Mathura, Uttar Pradesh, India

    Kanta Prasad Sharma

  3. Manav Rachna International University, Faridabad, Haryana, India

    Rashmi Agrawal

  4. University of Oviedo, Oviedo, Asturias, Spain

    Vicente Garcia Diaz

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Upadhyay, G.M., Gupta, S. (2022). A Study on Optimal Framework with Fog Computing for Smart City. In: Moh, M., Sharma, K.P., Agrawal, R., Garcia Diaz, V. (eds) Smart IoT for Research and Industry. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-71485-7_8

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  • DOI: https://doi.org/10.1007/978-3-030-71485-7_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-71484-0

  • Online ISBN: 978-3-030-71485-7

  • eBook Packages: EngineeringEngineering (R0)

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