Abstract
The explosive growth of the Internet of Things (IoT) devices and the growing computing power of these devices has resulted in unprecedented volumes of data. Which will continue to crest as communication networks increase the number of connected mobile devices. Edge computing is an open and distributed architecture that features decentralized processing power, enabling mobile computing technologies, as well as the Internet of Things (IoT) devices or local edge servers. It offers a more efficient alternative by having the data processed and analyzed closer to the point at which it was created. This proximity to the data at its source can result in real business benefits related to better response times, faster insights, and improved bandwidth availability. Since data is not transmitted over a network to a cloud or data center to be processed, causing latency to be significantly reduced. At its core, edge computing technology simply means processing raw data from the sensor as close as possible to the endpoint that generated the data without going to the cloud to use the heavy computing capacity of high-end servers. Therefore, this chapter aims to provide an updated review and overview of Edge Computing, addressing its evolution and fundamental concepts, showing its relationship as well as approaching its success, with a concise bibliographic background, categorizing and synthesizing the potential of technology.
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França, R.P., Monteiro, A.C.B., Arthur, R., Iano, Y. (2021). An Overview of the Edge Computing in the Modern Digital Age. In: Chang, W., Wu, J. (eds) Fog/Edge Computing For Security, Privacy, and Applications. Advances in Information Security, vol 83. Springer, Cham. https://doi.org/10.1007/978-3-030-57328-7_2
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