Efficient and scalable cloud-assisted SVC video streaming through mesh networks
To improve the efficiency and scalability of video streaming in large scale mesh networks, we propose a cloud-assisted video delivering strategy that can distribute video contents to subscribers over multiple routing paths dynamically. By leveraging the computation power and numerous storage of a cloud and the flexibility of scalable video coding (SVC) scenarios, we design algorithms for multiple routing path selection and assignment, and propose to run them in a cloud for fast processing. The multi-path routing is then achieved by label-switching in the network layer. The simulation results show that the proposed algorithms achieved efficient usage of the network resources and improved user experience in terms of bandwidth, delay and jitter.