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NAP: A Reinforcement Learning-Based Network-Aware Prefetcher for Data Center Applications

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Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.jnca.2016.05.002openalex-snapshot
Multimedia prefetching with optimal Markovian policies
inferredcites →https://doi.org/10.1109/comst.2022.3212586openalex-snapshot
Zero Touch Management: A Survey of Network Automation Solutions for 5G and 6G Networks
inferredcites →https://doi.org/10.1109/lnet.2022.3192173openalex-snapshot
Demand-Aware Cooperative Content Caching in 5G/6G Networks With MEC-Enabled Edges
inferredcites →https://doi.org/10.1145/125826.125932openalex-snapshot
An effective on-chip preloading scheme to reduce data access penalty
inferredcites →https://doi.org/10.1145/216585.216588openalex-snapshot
Hitting the memory wall
inferredcites →https://doi.org/10.1145/3345000openalex-snapshot
A Neural Network Prefetcher for Arbitrary Memory Access Patterns
inferredcites →https://doi.org/10.1145/3445814.3446752openalex-snapshot
A hierarchical neural model of data prefetching
inferredcites →https://doi.org/10.3390/s22186983openalex-snapshot
5G/B5G mmWave Cellular Networks with MEC Prefetching Based on User Context Information
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