Cache Scheme Based on Pre-Fetch Operation in ICN.

Area of Science:

• Computer Science
• Networking
• Information-Centric Networking (ICN)

Background:

• Information-Centric Networking (ICN) shifts focus from end-hosts to named content.
• Chunk-based communication offers advantages over traditional content-based methods in ICN.
• In-network caching is a critical infrastructure component for ICN performance.

Purpose of the Study:

• To propose a novel chunk-level cache mechanism utilizing pre-fetch operations for ICN.
• To reduce user-perceived latency and network hops through intelligent content caching.
• To investigate the effectiveness of pre-fetching strategies in ICN environments.

Main Methods:

• Developed a chunk-level cache mechanism for routers in ICN.
• Implemented a pre-fetch strategy to cache anticipated future content chunks.
• Utilized Least Recently Used (LRU) for cache replacement policy.
• Defined two pre-fetch driven modes to determine timing and execution.

Main Results:

• Simulation results demonstrate a significant decrease in average user-perceived latency.
• The proposed mechanism effectively reduced the number of network hops.
• Performance is influenced by cache capacity, Zipf parameters, and pre-fetch window size.

Conclusions:

• The chunk-level cache mechanism with pre-fetching is effective in enhancing ICN performance.
• Pre-fetching strategies can substantially improve user experience by reducing latency.
• Further research can optimize cache parameters for diverse network conditions.