Abstract
In general, cloud computing provides a desirable solution mechanism towards advancements in computing and network technologies. Cloud computing paradigm can perform efficiently with the use of strong data centres, which can handle the storage, security and processing of huge data. The basic concept of fog processing has been developed in the field of internet of things, and artificial intelligence towards achieving effective solution mechanisms with more efficiency. Fog computing is ideally suited to distributed environments in which there are many devices, providing data, such as sensors and cameras used in IoT systems. Accordingly, fog processing also fits well with the needs of environments in which it is crucial to quickly collect and pre-process the data and then forward them for central processing. In this paper, a comparative analysis has been carried out between cloud and fog computing to explore the business prospective. Lastly, the fog computing is linked with the information communication technology in business focusing towards acquiring and generalizing empirical knowledge.
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Polkowski, Z., Nycz-Lukaszewska, M., Grzelak, W. (2020). A Framework of Fog Computing for Business. In: Borah, S., Emilia Balas, V., Polkowski, Z. (eds) Advances in Data Science and Management. Lecture Notes on Data Engineering and Communications Technologies, vol 37. Springer, Singapore. https://doi.org/10.1007/978-981-15-0978-0_30
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