TLed: Time-Lived Based Congestion and Rate Control for Video in Named Data Networking

Named Data Networking (NDN), a revolution of the IP architecture, provides an information-centric paradigm to transmit video traffic which occupies most of the Internet traffic. However, the control schemes in the field of video NDN research can easily result in full bottleneck bandwidth at the cost of high video delay and frequent packet loss. This is because the loss-based or transient-queue-delay-based congestion control schemes respond to the signal after the congestion is formed. And NDN multi-source feature can't make the loss and delay-based signals accurately reflect the network situation. In addition, the current video applications need to choose the suitable video rate to stream across the network. The bandwidth estimation scheme of video rate control ignoring multi-source reduces accuracy in NDN. In this paper, we firstly build a max-plus algebra based model to characterize the interest-data transmission process for video consumer and to estimate the NDN bandwidth delay product. The hops (lived time)that data pass through from the producer to the consumer represent the multi-source feature in the model. Then we propose a Time-Lived based congestion and rate control scheme for the NDN video consumer. Extensive experiments have been conducted to evaluate our scheme from the perspective of throughput, delay, and queue length. The results show that our scheme can improve the throughput of the video consumer while reducing the round trip time by shortening the queue length.