The world has witnessed an exponential growth of mobile devices including mobile phones, wearable devices, tablets, smart vehicles and Internet-of-Things devices over the last decade. The enormous network traffic often causes network congestion and increases network latency. To address this issue, edge computing, a new computing paradigm, has emerged to distribute computing capacities from centralized cloud to distributed edge servers. However, due to the geographic distribution and limited capacities of edge servers, edge computing faces new challenges in many research areas, including resource management, distributed machine learning and security. In this presentation, the related studies about edge resource management, edge AI and edge security are introduced and discussed, as well as future prospects.
Dr Xiaoyu Xia has received his Master degree from the University of Melbourne, Australia, and his PhD degree from Deakin University, Australia. His research interests include edge computing, service computing, software engineering and cloud computing. In his research fields, he has authored more than 30 high-quality publications on top-tier conferences and journals, e.g., IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Mobile Computing, IEEE Transactions on Services Computing, etc. He has been active in professional services, e.g., serving as Program Committee Member at IEEE International Conference on Edge Computing from 2021. He was awarded the “Postgraduate Research Award” from Deakin University and the “Teaching Excellence Award” from Swinburne University of Technology in 2021.
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