An optimal fair resource allocation strategy for a lightweight content-centric networking architecture

Content-Centric Network (CCN) is promising to rebuild the network to resolve shortage of network resources. CCN promotes ubiquitous caching in each router to enhance content delivery around the concept of content, thus the router can store the content with high popularity. In this paper, we focus on building a lightweight CCN network framework with good scalability. We innovatively put forward to a method, which combines the hit rate, average delay and the equity of resource allocation to measure the performance of the network architecture. First, we draw up this problem as a content placement problem and control content fair distribution through weight. Then we propose a heuristic algorithm with threshold to allocate resource reasonably. In comparison with ProbCache and greedy, the heuristic algorithm has better and more stable performance in the hit rate, delay as well as equity. Simulation results show that the model and algorithm is available and effective.