
arXiv: 1904.04026
This article gives an overview of what Fog computing is, its uses and the comparison between Fog computing and Cloud computing. Cloud is performing well in todays World and boosting the ability to use the internet more than ever. Cloud computing gradually developed a method to use the benefits of it in most of the organizations. Fog computing can be apparent both in big data structures and large cloud systems, making reference to the growing complications in retrieving the data accurately. Fog computing is outspreading cloud computing by transporting computation on the advantage of network systems such as cell phone devices or fixed nodes with in-built data storage. Fog provides important points of improved abilities, strong security controls, and processes, establish data transmission capabilities carefully and in a flexible manner. This paper gives an overview of the connections and attributes for both Fog computing and cloud varies by outline, preparation, directions, and strategies for associations and clients. This also explains how Fog computing is flexible and provide better service for data processing by overwhelming low network bandwidth instead of moving whole data to the cloud platform.
10 pages, 1 figure, 1 table
FOS: Computer and information sciences, Computer Science - Distributed, Parallel, and Cluster Computing, Distributed, Parallel, and Cluster Computing (cs.DC)
FOS: Computer and information sciences, Computer Science - Distributed, Parallel, and Cluster Computing, Distributed, Parallel, and Cluster Computing (cs.DC)
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| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
