A Deep Reinforcement Learning based Offloading Game in Edge Computing

IEEE Transactions on Computers(2020)

引用 173|浏览704
暂无评分
摘要
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 cont...
更多
查看译文
关键词
Servers,Task analysis,Edge computing,Games,Computational modeling,Reinforcement learning,Nash equilibrium
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要