Performance evaluation of interest traffic generation and forwarding strategy impact in ICN

Abstract

The ICN (Information Centric Networking) approach, totally centered on the content, was proposed to reconstruct the model of Internet communication. It introduces new concepts such as naming, forwarding and caching. The ICN paradigm is explored by several research projects to present a new Internet communication architecture. In this work, we focus on NDN (Named Data Networking) project in order to analyze the impact of Interest traffic generation and Forwarding Strategies for three different Cache Replacement Mechanisms: LFU, LRU, and FIFO. In this paper, we evaluate the effects of these three mechanisms on hit ratios. Our experimental results show that the interest traffic generation has a positive effect on network performance. However, the choice of forwarding strategy has a positive influence on the network performance.