Leveraging Graph Theory for Efficient Cache Policy Design in $360^{\circ}$ Video Streaming
Ahmed Saadallah, Philippe Brunet, Inès El-Korbi, Sidi‐Mohammed Senouci, Soumaya Cherkaoui · 2023
Immersive systems and$360^{\circ}$video have grown in popularity in recent years. Nevertheless, due to the high bandwidth needs and massive size of these videos, streaming them presents an important issue. A possible solution to this problem is to employ edge caching, which keeps a portion of the video closer to the viewer to reduce latency and assure a higher Quality of Experience (QoE). In this paper, we present a caching policy approach for$360^{\circ}$video streaming that employs a tile-based graph representation of videos. Our method focuses on finding the most relevant tiles for caching. The suggested solution is intended to work efficiently for many videos competing for a single cache, ensuring that the most relevant tiles are cached to maximize performance. It exhibits robustness even in scenarios with a limited number of users, while still being able to effectively handle a vast amount of videos. Our technique can adapt to different video content and user needs by using the graph structure of the videos, making it a flexible and scalable solution for cache management in video streaming. Performance evaluation demonstrate the effectiveness of our method that outperforms existing caching strategies in terms of Cache Hit Ratio (CHR).