Abstract

Edge computing is an emergent architecture for computing, storage, control, and networking that distributes these services closer to end devices along the cloud-to-things continuum. The potential of edge computing will be fully exploited when the collaboration between edge instances become possible. In this project, we study collaborative edge computing, which could be formulated as a joint optimization problem considering the whole network edge. We propose a general-purpose collaborative edge computing system to provide network-aware, mobility-aware, and sustainability-aware ultra-low latency service in 5G networks. To improve the efficiency of the system, we introduce powerful machine learning techniques to resolve the critical yet difficult problems in the proposed system, such as pricing strategy in the cross-layer edge service and mobility prediction in mobility-aware edge services. Our approach integrates the machine learning techniques with the conventional optimization architecture as an attempt to reserve the best of two worlds.

Bio.

Chih-Yu Wang received the B.S. and Ph.D. degrees in electrical engineering and communication engineering from National Taiwan University (NTU), Taipei, Taiwan, in 2007 and 2013, respectively. He has been a visiting student in University of Maryland, College Park in 2011. He joined Academia Sinica, Taipei, Taiwan in 2014. He is currently an Associate Research Fellow / Associate Professor in Research Center for Information Technology Innovation. His research interests include game theory, wireless communications, social networks, and data science.
He was a recipient of the Ta-You Wu Memorial Award from National Science and Technology Council, Taiwan in 2022, the Young Scholars’ Creativity Award  from Foundation for the Advancement of Outstanding Scholarship in 2021, the Exploration Research Award 2021 from the Pan Wen-Yuan Foundation in 2021, the K. T. Li Young Researcher Award from ACM Taipei/Taiwan Chapter and The Institute of Information and Computing Machinery in 2019, Ministry of Science and Technology Research Project for Excellent Young Scholars in 2019 and 2022. His works were featured in 2018 and 2019 Significant Research Achievements of Academia Sinica.

All faculty and students are welcome to join.