Abstract
With the development of the Internet, there is a trend of blowout growth in network data. Meanwhile, the pursuit of the low latency of applications has also become a common user demand. Traditional cloud computing solves the problem of lack of resources faced by end devices through offloading data to the cloud, but it cannot meet the needs of people in the era of big data for computing efficiency. Therefore, edge computing came into being. By processing data in advance on devices close to the source of the data, edge computing reduces a lot of network transmission overhead, and also reduces response delay, while also having a positive effect on data privacy protection. The generation of edge computing is the result of the improvement of related technologies, and its development trend will also be the integration of other technologies. Among them, the combination of artificial intelligence technology and edge computing is an important development direction, and there is huge room for development in the future whether intelligent edge or edge intelligence.
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Wang, X., Han, Y., Leung, V.C.M., Niyato, D., Yan, X., Chen, X. (2020). Introduction. In: Edge AI. Springer, Singapore. https://doi.org/10.1007/978-981-15-6186-3_1
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DOI: https://doi.org/10.1007/978-981-15-6186-3_1
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