QoS Improvement Using In-Network Caching Based on Clustering and Popularity Heuristics in CCN

Area of Science:

• Computer Science
• Networking

Background:

• Content-Centric Networking (CCN) offers name-based retrieval, contrasting with IP's host-location focus.
• CCN's in-network caching improves availability and reduces delay, but inefficient caching hinders resource utilization.
• Optimizing caching is vital for Quality of Service (QoS) and overall network performance.

Purpose of the Study:

• To propose a novel content caching scheme for Content-Centric Networking.
• To enhance network resource efficiency and improve end-user Quality of Service (QoS).

Main Methods:

• Nodes are clustered using hop count and bandwidth to minimize redundancy.
• Content placement decisions consider cluster data, popularity, and hop count.
• A Least-Frequently-Used (LFU) replacement policy manages full caches.

Main Results:

• The proposed scheme strategically places popular content near network edges.
• This placement significantly improves cache hit ratios and network performance.
• Simulations demonstrate the strategy's superiority over competing methods.

Conclusions:

• The developed caching scheme effectively optimizes resource usage in CCN.
• It enhances user experience through improved content availability and reduced latency.
• The approach offers a superior alternative for efficient content caching in next-generation networks.