Edge Computing, Fog and MIST Architecture Analysis, Application, and Challenges

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  • With the advent of IoT and next-generation internet which contains a multitude of geographically distributed devices (approx. 50 billion devices by 2020 [1]) continuously generating data streams, the centralized cloud computing structure is becoming inefficient for processing and analyzing an extraordinary volume of data collected from IoT devices. Therefore, we need new data processing architectures that can handle the challenges of heterogeneity, distribution, latency, and bandwidth along the IoT-cloud continuum. Fog computing [2] emerged as a new computing paradigm that
    changed the distributed computing landscape by extending the computing power and data analytics to the proximity of users from the core to the edge of the network. It is potentially built with various components and resource types distributed across the IoT-Fog-Cloud continuum. (As cited in abstract.)

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    Attribution-NonCommercial 4.0 International