Improving Fairness of NDN Congestion Control from Resource Pooling Perspective

A practical congestion control scheme for Named Data Networking (NDN), called PCON, has been proposed for efficient data retrieval from multiple sources. Although PCON has been proposed for a multi-path/-source data retrieval, it does not discuss resource pooling viewpoint which is an important fairness concept in resource sharing. In this paper, we first evaluate the fairness performance of PCON and show that PCON cannot achieve the global fairness based on the resource pooling concept. To improve the fairness, we proposed a method that enhances AQM mechanisms of PCON to improve fairness among flows sharing multiple communication resources. Through performance evaluation using a ns-3-based NDN simulator, we reveal that our proposed method can balance the congestion, improve the global fairness, and achieve high-level performance from the resource pooling perspective.