Online Learning Algorithms for Context-Aware Video Caching in D2D Edge Networks

• Published in: IEEE transactions on parallel and distributed systems Vol. 35; no. 1; pp. 1 - 18
• Main Authors: Xia, Qiufen, Jiao, Zhiwei, Xu, Zichuan
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.01.2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Approximation; Approximation algorithm; Approximation algorithms; Caching; Confidence intervals; Context; context-aware video caching; D2D edge network; Delay; Delays; Device-to-device communication; Distance learning; Edge computing; Electronic devices; Energy budget; Energy consumption; Energy levels; Energy storage; Machine learning; Mathematical analysis; Mobile handsets; Network latency; Prediction algorithms; Quality of service; Storage capacity; Uncertainty; User requirements; Video

With the emergence of various short video platforms such as TikTok and Instagram, coupled with the accelerated pace of people's lives, people are spending more time sharing and watching online videos than ever before, and they gradually turn their attention to short videos with short duration a...