Information Centric Networking (ICN) is a promising network paradigm for video delivery because of its pervasive in-network caching. However, in ICN, a mobile client at the last hop still suffers buffer starvation due to the wireless bandwidth dynamics and data wastage caused by user cancellation. To address this problem, we propose a Popularity-aware Markov Decision Process (MDP) Approach (called PMDA) to minimize video stall with less data wastage, using a dataset collected from ICN routers of a real test bed. Firstly, we formulate an optimization problem with the objective to minimize a cost function including the two metrics, constrained by the buffer size and bandwidth. The probability of buffer starvation and the amount of data wastage are functions of request rates. Then, an MDP approach is employed to derive results. Finally, a VLC-like media player is designed and implemented on ndnSIM platform. Experimental results show that PMDA outperforms the existing approach.
['Guoshun Nan', 'Xiuquan Qiao', 'Junliang Chen']
A popularity-aware prefetching using MDP for wireless video streaming over information-centric networks