Proactive Content Caching for Streaming over Information-Centric Network

Dash, Shatarupa; Dash, Suvendu Kumar; Sahu, Bharat J. R.

doi:10.1007/978-981-15-5971-6_17

Cited by 3 publications

(1 citation statement)

References 6 publications

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“…They aimed to minimize the number of forwarding nodes and the number of content replications from consumers to cache nodes while obeying the cache capacity constraint. Paper [19] described their proactive caching strategy as an Ant Colony Process. They demonstrated that their approach could put contents close to the user and reduce access latency.…”

Section: Proactive Cachingmentioning

confidence: 99%

A GNN-based proactive caching strategy in NDN networks

Hou

Nayak

2023

Peer-to-Peer Netw. Appl.

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As people spend more time watching and sharing videos online, it is critical to provide users with a satisfactory quality of experience (QoE). Leveraging the in-network caching and named-based routing features in Named Data Networks (NDNs), our paper aims to improve user experience through caching. We propose a graph neural networkgain maximization (GNN-GM) cache placement algorithm. First, we use a GNN model to predict users' ratings of unviewed videos. Second, we consider the total predicted rating of a video as the gain of the cached video. Third, we propose a cache placement algorithm to maximize the caching gain and actively cache videos. Cache replacement is implemented based on the cache gain ranking of videos, with higher cache gain videos replacing lower cache gain videos. We compare GNN-GM with two state-of-the-art caching strategies, namely the NMF-based caching strategy and GNN-CPP. GNN-GM is also compared with two traditional caching strategies, LCE and LRU, LCE and FIFO. We evaluate the five caching strategies using real-world datasets in a tree network topology, a real-world network topology GEANT, and various random topologies. The experimental results show that our caching policy significantly improves cache hit ratio, latency and server load. Notably, GNN-GM achieves a 25% higher cache hit rate, 5% lower latency and 7% lower server load than GNN-CPP in GEANT.

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Section: Proactive Cachingmentioning

confidence: 99%

A GNN-based proactive caching strategy in NDN networks

Hou

Nayak

2023

Peer-to-Peer Netw. Appl.

View full text Add to dashboard Cite

show abstract

Optimized D-RAN Aware Data Retrieval for 5G Information Centric Networks

Kottursamy

Khan

Sadayappillai

et al. 2021

Wireless Pers Commun

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A GNN-based Proactive Caching Strategy in NDN Networks

Hou

Nayak

2022

Preprint

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As people spend more time watching and sharing videos online, it is critical to provide users with a satisfactory quality of experience (QoE). Leveraging the in-network caching and named-based routing features in Named Data Networks (NDNs), our paper aims to improve user experience through caching. We propose a graph neural network-gain maximization (GNN-GM) cache placement algorithm. First, we use a GNN model to predict users’ ratings of unviewed videos. Second , we consider the total predicted rating of a video as the gain of the cached video. Third, we propose a cache placement algorithm to maximize the caching gain and actively cache videos. Cache replacement is implemented based on the cache gain ranking of videos, with higher cache gain videos replacing lower cache gain videos. We compare GNN-GM with two state-of-the-art caching strategies, namely the NMF-based caching strategy and GNN-CPP. GNN-GM is also compared with two traditional caching strategies, LCE and LRU, LCE and FIFO. We evaluate the five caching strategies using real-world datasets in a tree network topology, a real-world network topology GEANT, and various random topologies. The experimental results show that our caching policy significantly improves cache hit ratio, latency and server load. Notably, GNN-GM achieves a 25% higher cache hit rate, 5% lower latency and 7% lower server load than GNN-CPP in GEANT.

show abstract

Proactive Content Caching for Streaming over Information-Centric Network

Cited by 3 publications

References 6 publications

A GNN-based proactive caching strategy in NDN networks

A GNN-based proactive caching strategy in NDN networks

Optimized D-RAN Aware Data Retrieval for 5G Information Centric Networks

A GNN-based Proactive Caching Strategy in NDN Networks

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