Foundations and Evolution of Modern Computing Paradigms: Cloud, IoT, Edge, and Fog
By Michele De Donno, Koen Tange, Nicola Dragoni. IEEE Access, 2019
296 citations recorded by the source corpus.
In the last few years, Internet of Things, Cloud computing, Edge computing, and Fog computing have gained a lot of attention in both industry and academia. However, a clear and neat definition of these computing paradigms and their correlation is hard to find in the literature. This makes it difficult for researchers new to this area to get a concrete picture of these paradigms. This work tackles this deficiency, representing a helpful resource for those who will start next. First, we show the evolution of modern computing paradigms and related research interest. Then, we address each paradigm, neatly delineating its key points and its relation with the others. Thereafter, we extensively address Fog computing, remarking its outstanding role as the glue between IoT, Cloud, and Edge computing. In the end, we briefly present open challenges and future research directions for IoT, Cloud, Edge, and Fog computing.
Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/d5210d5a64abc570c368f48ec81497966be59784
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In Computer Networks and Communications
In Computer Vision and Pattern Recognition
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Citations in the corpus
- A Systematic Survey of Industrial Internet of Things Security: Requirements and Fog Computing Opportunities (2020, methodology): “To maintain consistency with earlier work, we use the definition of Fog computing as used in [254]; a paradigm that extends the Cloud and integrates Edge and IoT, while providing a new, horizontally scalable highly virtualized layer that distributes computing, storage, control, and networking capabi”