Intelligent resources management system design in information centric networking
Hengyang Zhang, Shixiang Zhu, Renchao Xie, Tao Huang, Yunjie Liu · China Communications · 2017
Information centric networking (ICN) is a new network architecture that is centred on accessing content. It aims to solve some of the problems associated with IP networks, increasing content distribution capability and improving users' experience. To analyse the requests' patterns and fully utilize the universal cached contents, a novel intelligent resources management system is proposed, which enables efficient cache resource allocation in real time, based on changing user demand patterns. The system is composed of two parts. The first part is a fine-grain traffic estimation algorithm called Temporal Poisson traffic prediction (TP2) that aims at analysing the traffic pattern (or aggregated user requests' demands) for different contents. The second part is a collaborative cache placement algorithm that is based on traffic estimated by TP2. The experimental results show that TP2 has better performance than other comparable traffic prediction algorithms and the proposed intelligent system can increase the utilization of cache resources and improve the network capacity.