An incremental learning based edge caching system: From modeling to evaluation
Caches are widely applied to improve data delivery performance in distributed systems like
edge networks and content delivery networks (CDNs). We consider caching mechanism in …
edge networks and content delivery networks (CDNs). We consider caching mechanism in …
Dynamic Edge Caching via Online Meta-RL
The content request patterns perceived by edge devices are becoming highly dynamic,
especially for emerging short video platforms compared to traditional video platforms. This …
especially for emerging short video platforms compared to traditional video platforms. This …
Towards Intelligent Adaptive Edge Caching using Deep Reinforcement Learning
T Wang, Y Deng, J Mao, M Chen, G Liu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The tremendous expansion of edge data traffic poses great challenges to network
bandwidth and service responsiveness for mobile computing. Edge caching has emerged …
bandwidth and service responsiveness for mobile computing. Edge caching has emerged …
A learned cache eviction framework with minimal overhead
Recent work shows the effectiveness of Machine Learning (ML) to reduce cache miss ratios
by making better eviction decisions than heuristics. However, state-of-the-art ML caches …
by making better eviction decisions than heuristics. However, state-of-the-art ML caches …
Regret-Optimal Learning for Minimizing Edge Caching Service Costs
Edge caching has been widely implemented to efficiently serve data requests from end
users. Numerous edge caching policies have been proposed to adaptively update cache …
users. Numerous edge caching policies have been proposed to adaptively update cache …
An Efficient Cache Eviction Strategy based on Learning and Belady Algorithm
W Zhou, Q Wang - 2023 IEEE 12th International Conference on …, 2023 - ieeexplore.ieee.org
With the rapid development of 5G networks and the explosive growth of mobile traffic
demand, the transmission of massive data has exacerbated the burden on the backbone …
demand, the transmission of massive data has exacerbated the burden on the backbone …
Learning cache replacement with {CACHEUS}
Recent advances in machine learning open up new and attractive approaches for solving
classic problems in computing systems. For storage systems, cache replacement is one …
classic problems in computing systems. For storage systems, cache replacement is one …
Edge Caching Based on Deep Reinforcement Learning and Transfer Learning
This paper addresses the escalating challenge of redundant data transmission in networks.
The surge in traffic has strained backhaul links and backbone networks, prompting the …
The surge in traffic has strained backhaul links and backbone networks, prompting the …
SwiftCache: Model-Based Learning for Dynamic Content Caching in CDNs
B Abolhassani, A Eryilmaz, T Hou - arXiv preprint arXiv:2402.17111, 2024 - arxiv.org
We introduce SwiftCache, a" fresh" learning-based caching framework designed for content
distribution networks (CDNs) featuring distributed front-end local caches and a dynamic …
distribution networks (CDNs) featuring distributed front-end local caches and a dynamic …
DeepMEC: Mobile edge caching using deep learning
Caching popular contents at edge nodes such as base stations is a crucial solution for
improving users' quality of services in next-generation networks. However, it is very …
improving users' quality of services in next-generation networks. However, it is very …