Abstract

The fourteen articles in this special section present high-quality unpublished work regarding the latest advances in the area of AI-inspired network traffic control. Network traffic control is a key enabler for network systems as it helps achieve significant information delivery efficiency as well as resource utilization through monitoring, inspecting, and regulating data flows. In light of evolving IoT technology and the coming of the beyond fifth generation (5G) era, powerful smart mobile devices and ubiquitous ultra-dense radio networks have greatly enlarged network scale while bringing explosive amounts of data traffic, which impose considerable pressure on the management of the Internet. Moreover, the advances in central cloud and smart edge services have substantially changed the traffic flow models and the service architecture of the Internet. New technologies are thus required to handle traffic control in a highly scalable and adaptive mode.

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