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Centralized Hierarchical Coded Caching Scheme for Two-Layer Network.

Kun Zhao1, Jinyu Wang2, Minquan Cheng1

  • 1Key Lab of Education Blockchain and Intelligent Technology, Ministry of Education, Guangxi Normal University, Guilin 541004, China.

Entropy (Basel, Switzerland)
|March 28, 2025
PubMed
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This study introduces a new coded caching scheme for hierarchical networks, reducing coding delays. The novel approach effectively utilizes cache memory in both mirrors and users for improved performance.

Area of Science:

  • Computer Science
  • Information Theory
  • Network Engineering

Background:

  • Hierarchical networks with server-mirror-user structures are common.
  • Efficient data caching is crucial for network performance.
  • Existing coded caching schemes face limitations in hierarchical settings.

Purpose of the Study:

  • To propose a novel coded caching scheme for two-layer hierarchical networks.
  • To optimize cache utilization across mirrors and users.
  • To reduce coding delays in data delivery.

Main Methods:

  • Developed a coded caching scheme using two placement delivery arrays (PDAs).
  • Treated mirrors and users as homogeneous cache nodes to maximize memory usage.
  • Implemented a two-layer broadcasting strategy for efficient data dissemination.
Keywords:
coded cachinghierarchical networksplacement delivery array

Related Experiment Videos

  • Extended the scheme to heterogeneous network environments.

    • Main Results:

    • The proposed scheme effectively utilizes cache memory at both mirror and user levels.
    • Achieved lower coding delays compared to existing hierarchical coded caching schemes.
    • Demonstrated effectiveness in both homogeneous and heterogeneous network configurations.

    Conclusions:

    • The novel coded caching scheme offers significant improvements in reducing coding delays.
    • The approach provides a flexible and efficient solution for hierarchical network caching.
    • This work contributes to the advancement of efficient data caching strategies in complex networks.