Preliminary Analytics of Video Cache Improvement using Random Linear Network Coding

The demand of video streaming has become part of our modern daily life, especially under the threat of COVID-19. In order to promote the video quality, several video streaming techniques design and configure video cache along the transmission path. This paper investigates and studies how to improve video cache based on Random Linear Network Coding (RLNC). According to our initial experimental results on Peer-to-Peer (P2P), the proposed strategies can provide more flexible video distribution.