Hybrid CDN Architecture Integrating Edge Caching, MEC Offloading, and Q-Learning-Based Adaptive Routing

Content Delivery Networks (CDNs) have evolved to meet surging data demands and stringent low-latency requirements driven by emerging applications like high-definition video streaming, virtual reality, and IoT. This paper proposes a hybrid CDN architecture that synergistically combines edge caching,...

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書誌詳細

主要な著者:	Aymen D. Salman, Akram T. Zeyad, Asia Ali Salman Al-karkhi, Safanah M. Raafat, Amjad J. Humaidi
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2025-10-01
シリーズ:	Computers
主題:	edge caching multi-access edge computing reinforcement learning Q-learning computation offloading cache hit ratio
オンライン･アクセス:	https://www.mdpi.com/2073-431X/14/10/433
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