Integration Of Content Size Adjustment And Caching Policy to Improve Named Data Networking Performance

Abstract

In-network caching is an important part of future network design. One of the future networks that have a caching function in the network is Named Data Networking (NDN). All NDN nodes can store content in their content store. Therefore, it can reduce the latency of content retrieval by the user. The caching function can cope with the increase in big data traffic, such as video, which is predicted to dominate more than 79% of traffic on the network. Caching on NDN offers a solution by sending large content into smaller chunks of content, but there is no specific standard for setting the right chunk size. In this paper, we conduct an in-depth evaluation of chunk size allocation in NDN content stores and collaborate with several caching strategies. The test was carried out at the emulation level using Mininet-NDN. The study's results prove that sending chunk-size content can improve NDN performance compared to full-size content. The first topology shows that the transmission delay decreases when sending content chunks. Then the Cache Hit Ratio (CHR) obtained is higher than sending full-size content. In the second topology, uniform and various content size adjustments show promising results when using the Leave Copy Everywhere (LCE) cache strategy.