Dynamic Interest Transmission Approach for Improving Link Failure Resiliency in Content Centric Network

Abstract

Information centric network (ICN) is becoming a prevailing design for future Internet to provide data objects to end customers. One crucial problem in ICN is to design routing and forwarding strategy so that traffic can be transmitted efficiently even with the dynamics of network link. In this paper, we consider content centric network (CCN), which is one of the promising candidate architecture design for ICN. Particularly, we consider the scalable CCN with name mapping system, which improves scalability by using router Identifier as name prefix to forward interests. We address the issue of improving link failure resiliency for CCN by designing a dynamic interest transmission approach. We propose the link failure resilient interest transmission algorithm (LFRIT) to enhance link failure resiliency by considering both network traffic and link status information. Additionally, we propose the advanced design of LFRIT (A-LFRIT), which calculates and updates the forwarding table centrally for link updates to further improve network robustness. Numerous simulations are conducted to evaluate the proposed approach under realistic network topologies with respect to packet loss, latency, and network link utilization. Simulation results demonstrate that the packet loss probability and data retrieval delay of A-LFRIT can reduce to 50% of the basic CCN and multi-repository single path approaches.