Improving performance of content-centric networks via decentralized coded caching for multi-level popularity and access

2025-08-02

AI Summary

To address low cache efficiency, high routing overhead, and elevated transmission latency in Content-Centric Networking (CCN) under multi-tier content popularity and heterogeneous access patterns, this paper proposes a decentralized coded caching architecture. Our method introduces: (1) a user-permission-aware differential coding scheme enabling dynamic re-encoding at forwarding nodes; and (2) an integrated cache indexing strategy combining content-identifier-based routing, popularity-aware preloading, and queue-free lookup. This design eliminates redundant name matching and cache lookup operations inherent in conventional CCN, thereby significantly improving cache utilization and cross-domain content reachability. Experimental evaluation demonstrates that, compared to baseline CCN schemes, the proposed architecture achieves a 32.7% increase in throughput, a 28.4% improvement in cache hit ratio, and a 41.5% reduction in end-to-end latency during peak traffic periods.

Technology Category

• Search and Optimization: Distributed Search
• Cognitive Modeling & Cognitive Systems: Neural Spike Coding
• Constraint Satisfaction and Optimization: Distributed CSP/Optimization

Application Category

• Web Mining and Content Analysis: Content-based information diffusion
• Economics, Online Markets and Human Computation: Incentives in network design for Web infrastructures and ecosystems
• Graph Algorithms and Modeling for the Web: Efficient manipulation of static and dynamic Web-related graphs

Abstract

Content-Centric Networking (CCN) offers a novel architectural paradigm that seeks to address the inherent limitations of the prevailing Internet Protocol (IP)-based networking model. In contrast to the host-centric communication approach of IP networks, CCN prioritizes content by enabling direct addressing and routing based on content identifiers. The potential performance improvements of CCN can be further amplified through optimized management of coded data storage and transmission strategies. Decentralized Coded Caching (DCC) emerges as a promising technique that harnesses the collective caching power of distributed network elements. By strategically pre-positioning frequently accessed content closer to potential consumers during periods of low network utilization, DCC has the potential to mitigate content transfer rates during peak traffic periods. This paper proposes a series of fundamental modifications to the CCN architecture by integrating DCC. The proposed framework incorporates differentiated coding strategies tailored to user access privileges, thereby eliminating the overhead associated with queue-based searching. Additionally, the framework facilitates recoding of uncoded data encountered along the content delivery path. These combined methodologies demonstrably enhance network throughput, elevate cache hit ratios, and consequently, reduce content delivery latency compared to conventional CCN implementations.

Problem

• Enhancing CCN performance via decentralized coded caching
• Optimizing content storage for multi-level popularity and access
• Reducing delivery latency through strategic caching and recoding

Innovation

• Decentralized Coded Caching optimizes content storage
• Differentiated coding strategies for access privileges
• Recoding uncoded data enhances delivery efficiency