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Popularity-Aware Closeness Based Caching in NDN Edge Networks.
Marica Amadeo1,2, Claudia Campolo1,2, Giuseppe Ruggeri1,2
1DIIES Department, University Mediterranea of Reggio Calabria, 89100 Reggio Calabria, Italy.
Sensors (Basel, Switzerland)
|May 20, 2022
Summary
This study introduces a new caching strategy for Named Data Networking (NDN) edge networks. The popularity-aware closeness (PaC) metric improves content retrieval by caching popular data closer to users, reducing delay and traffic.
Area of Science:
- Computer Science
- Networking
- Edge Computing
Background:
- Named Data Networking (NDN) offers name-based routing and in-network caching for 6G edge networks.
- Effective caching strategies are crucial for NDN performance, with prior work highlighting content popularity and network topology.
- Current distributed caching in NDN nodes faces challenges in optimizing content retrieval efficiency.
Purpose of the Study:
- To propose a novel distributed caching strategy for NDN edge networks.
- To introduce the popularity-aware closeness (PaC) metric for optimizing cache placement.
- To enhance content retrieval performance by strategically caching popular content.
Main Methods:
- Developed a distributed caching strategy based on the popularity-aware closeness (PaC) metric.
- PaC measures a node's proximity to the majority of content requesters.
- Identified popular content and cached it on edge nodes with the highest PaC values.
Main Results:
- The proposed PaC-based caching strategy significantly outperforms benchmark schemes.
- Demonstrated reductions in content retrieval delay.
- Showcased a decrease in exchanged data traffic within the NDN edge network.
Conclusions:
- The popularity-aware closeness (PaC) strategy is an effective approach for NDN edge network caching.
- Strategic caching based on requester proximity optimizes network resource utilization.
- This method enhances overall NDN performance by minimizing latency and data overhead.
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