A meta-policy approach for learning suitable caching replacement policies in information-centric networks

Author:

Pires Stéfani1,Ribeiro Adriana1,Sampaio Leobino1

Affiliation:

1. Federal University of Bahia, Salvador, Bahia

Funder

FAPESB

National Council for Scientific and Technological Development

Publisher

ACM

Reference21 articles.

1. Multi-Armed Bandit Learning for Cache Content Placement in Vehicular Social Networks

2. Learning-based optimization of cache content in a small cell base station

3. Digital Equipment Cooperation. 1996. Digital's web proxy traces. ftp://ftp.digital.com/pub/DEC/traces/proxy/webtraces.html Digital Equipment Cooperation. 1996. Digital's web proxy traces. ftp://ftp.digital.com/pub/DEC/traces/proxy/webtraces.html

4. Contextual Multi-Armed Bandit for Cache-Aware Decoupled Multiple Association in UDNs: A Deep Learning Approach

5. Efficiency of On-Path and Off-Path Caching Strategies in Information Centric Networks

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3. Online Learning Algorithms for Context-Aware Video Caching in D2D Edge Networks;IEEE Transactions on Parallel and Distributed Systems;2024-01

4. On Learning Suitable Caching Policies for In-Network Caching;IEEE Transactions on Machine Learning in Communications and Networking;2024

5. Cache-MAB: A reinforcement learning-based hybrid caching scheme in named data networks;Future Generation Computer Systems;2023-10

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