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Ding, Aaron Yi (author), Janssen, M.F.W.H.A. (author), Crowcroft, Jon (author)
As a fast evolving domain that merges edge computing, data analytics and AI/ML, commonly referred as Edge AI, the community of Edge AI is establishing and gradually finds its way to connect with mainstream research communities of distributed systems, IoT, and embedded machine learning. Meanwhile, despite of its well-claimed potential to...
conference paper 2021
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Haus, Michael (author), Ding, Aaron Yi (author), Wang, Qing (author), Toivonen, Juhani (author), Tonetto, Leonardo (author), Tarkoma, Sasu (author), Ott, Jorg (author)
The number of deployed Internet of Things (IoT) devices is steadily increasing to manage and interact with community assets of smart cities, such as transportation systems and power plants. This may lead to degraded network performance due to the growing amount of network traffic and connections generated by various IoT devices. To tackle...
conference paper 2019
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Cozzolino, Vittorio (author), Ding, Aaron Yi (author), Ott, Jörg (author)
Detecting and reacting efficiently to road condition hazards are challenging given practical restrictions such as limited data availability and lack of infrastructure support. In this paper, we present an edge-cloud chaining solution that bridges the cloud and road infrastructures to enhance road safety. We exploit the roadside infrastructure...
conference paper 2019