Deep reinforcement learning for adaptive caching in hierarchical content delivery networks
Caching is envisioned to play a critical role in next-generation content delivery infrastructure,
cellular networks, and Internet architectures. By smartly storing the most popular contents at …
cellular networks, and Internet architectures. By smartly storing the most popular contents at …
Cache network management using big cache abstraction
In this paper, we develop an optimization decomposition framework for cache management
under “BIG” cache abstraction which fully utilizes the cache resources in a cache network …
under “BIG” cache abstraction which fully utilizes the cache resources in a cache network …
A cache-level quality of experience metric to characterize ICNs for adaptive streaming
Adaptive streaming has motivated information-centric network designs to improve end-user
quality of experience (QoE). However, their management and evaluation rely either on …
quality of experience (QoE). However, their management and evaluation rely either on …
Performance estimation and evaluation framework for caching policies in hierarchical caches
The emergence of information-centric network (ICN) architectures has attracted a flurry of
renewed research interest in caching policies and their performance analysis. One important …
renewed research interest in caching policies and their performance analysis. One important …
Reinforcement learning for caching with space-time popularity dynamics
With the tremendous growth of data traffic over wired and wireless networks along with the
increasing number of rich-media applications, caching is envisioned to play a critical role in …
increasing number of rich-media applications, caching is envisioned to play a critical role in …