Rosevin: Employing Resource- and Rate-Adaptive Edge Super-Resolution for Video Streaming
IEEE INFOCOM 2024-IEEE CONFERENCE ON COMPUTER COMMUNICATIONS（2024）
Key words
Learning Algorithms,Objective Function,Resource Allocation,Theoretical Analysis,End-users,Computational Resources,Online Learning,Quality Of Experience,Content Delivery,Nonsmooth Functions,Deep Neural Network,Multi-core,Solution Space,Time Slot,Efficient Communication,Video Quality,Edge Server,Online Algorithm,Video Resolution,Multi-armed Bandit,Edge Caching,Edge Clustering,User Quality Of Experience,Average Bandwidth,Upper Confidence Bound,Competitive Ratio,Online Learning Algorithm,Problem Transformation,Super-resolution Model,Group Of Pictures
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