Congratulations to our Professor, Prof. Song Guo, on receiving the 2020 Best Paper Award from IEEE Transactions on Computers by the IEEE Computer Society Publications Board with his paper titled “A Deep Reinforcement Learning Based Offloading Game in Edge Computing”.
Edge computing is a new paradigm to provide strong computing capability at the edge of pervasive radio access networks close to users. A critical research challenge of edge computing is to design an efficient offloading strategy to decide which tasks can be offloaded to edge servers with limited resources. Although many research efforts attempt to address this challenge, they need centralized control, which is not practical because users are rational individuals with interests to maximize their benefits. In this article, the design of a decentralized algorithm for computation offloading is studied, so that users can independently choose their offloading decisions. Game theory has been applied in algorithm design. Different from existing work, the challenge that users may refuse to expose their information about network bandwidth and preference is addressed.
Prof. Guo is an IEEE Fellow, an ACM Distinguished Member and a Highly Cited Researcher in the Computer Science category for 2 consecutive years since 2020. With over 500 papers published in major conferences and journals, Prof. Guo’s work in cloud computing, edge artificial intelligence, big data and distributed systems has had a broad and seminal impact – from the advancement of scientific knowledge to industrial innovation. He has been widely recognised for his pioneering contributions to the resilient management system used in post-disaster applications.