Abstract
Fog computing (FC) is a new model, which extends cloud computing services to the edge of computing networks. Different aspects of FC, such as security, have been extensively explored in the existing research. However, the research focuses on how to identify and secure the FC devices and how these devices communicate within the intranet. We believe that it is very important to investigate how the extant infrastructure responses, when a huge amount of data is generated by FC devices. We also need to make sure that the existing network infrastructure will not be chocked, causing the existing services to block. Additionally, the security and privacy are huge concerns for FC. Consequently, by applying the security policies, how will the network respond? Will it make it even worse or improve the performance? In this research, our contribution is twofold. Firstly, we integrate the performance issues of FC network infrastructure for parameters such as throughput, delay, load, etc. Secondly, we analyze the overheads that are generated because of deploying security in FC.
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Rafiq, W., Wahid, A., Shah, M.A., Akhunzada, A. (2019). Internet Traffic Flow Analysis in Fog Computing: An Experimental Case Study. In: Jan, M., Khan, F., Alam, M. (eds) Recent Trends and Advances in Wireless and IoT-enabled Networks. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-319-99966-1_8
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DOI: https://doi.org/10.1007/978-3-319-99966-1_8
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