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Fog Computing Conceptual Model



Michaela Iorga, Larry Feldman, Robert Barton, Michael J. Martin, Nedim S. Goren, Charif Mahmoudi


Managing the data generated by Internet of Things (IoT) sensors and actuators is one of the biggest challenges faced when deploying an IoT system. Traditional cloud-based IoT systems are challenged by the large scale, heterogeneity, and high latency witnessed in some cloud ecosystems. One solution is to decentralize applications, management, and data analytics into the network itself using a distributed and federated computer model. This approach has become known as fog computing. This document presents a definition of fog and mist computing and how they relate to cloud-based computing models for IoT. This document further characterizes important properties and aspects of fog computing, including service models, deployment strategies, and provides a baseline of what fog computing is, and how it may be used.
Special Publication (NIST SP) - 500-325
Report Number


cloud computing, cloudlet, edge computing, fluid computing, fog computing, fluid computing, Internet of Things (IoT), mist computing


Iorga, M. , Feldman, L. , Barton, R. , Martin, M. , Goren, N. and Mahmoudi, C. (2018), Fog Computing Conceptual Model, Special Publication (NIST SP), National Institute of Standards and Technology, Gaithersburg, MD, [online], (Accessed June 22, 2024)


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Created March 14, 2018, Updated November 10, 2018