A Review of Fog Computing Architecture and Cloud Computing Architecture

Cloud computing is utilized in today's world in all the applications. The scope of the Cloud is defined from the storage of the data of the mobile devices to storage and manipulation of gigantic amount of data generated from the social and commercial websites like Amazon, Google, Flipkart etc. Hence, the tremendous amount of data is transmitted to/from the Cloud servers at the same time for preprocessing, analysis and backup purposes. This may cause delay in the transfer of data due to the physical distance or network limitations. Hence, an intermediate layer of Fog computing can help to analyze and process the data before it is sent to the Cloud for further processing. Thus, the data received by the Cloud servers are already analyzed and preprocessed that leads to saving in time, improved abilities, establish data transmission capabilities, improved security and reduced latency. Hence, the introduction of Cloud computing and Fog computing as well as their comparative studies are discussed in this review paper. The architectures of both Cloud and Fog computing are presented along with the explanation of working of Fog nodes. Lastly, both the computing technologies are compared based on the parameters viz. latency, architecture, transmission, data processing, connectivity, response time, number of nodes, analysis and security