Date Published: August 2017
Comments Due:
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Author(s)
Michaela Iorga (NIST), Larry Feldman (G2), Robert Barton (Cisco), Michael Martin (IBM Canada), Nedim Goren (NIST), Charif Mahmoudi (NIST)
Announcement
NIST requests public comments on the release of Draft Special Publication 800-191, The NIST Definition of Fog Computing. Managing the data generated by Internet of Things (IoT) sensors 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 ecosystem. One solution is to decentralize applications, management, and data analytics into the network itself using a distributed and federated compute model. This approach has become known as fog computing. This document presents a formal 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.
Managing the data generated by Internet of Things (IoT) sensors 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 compute model. This approach has become known as fog computing. This document presents a formal 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.
Managing the data generated by Internet of Things (IoT) sensors 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...
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Managing the data generated by Internet of Things (IoT) sensors 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 compute model. This approach has become known as fog computing. This document presents a formal 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.
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Keywords
cloud computing; cloudlet; edge computing; fluid computing; fog computing; fluid computing; Internet of Things (IoT); mist computing
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