StreamCache: Popularity-based caching for adaptive streaming over information-centric networks
Wenjie Li, Sharief Oteafy, Hossam S. Hassanein · 2016
The growing demand for video streaming is straining the current Internet, and mandating a novel approach to future Internet paradigms. The advent of Information-Centric Networks (ICN) promises a novel architecture for addressing this exponential growth in data traffic, with ubiquitous caching to facilitate video delivery. In this paper, we present a novel in-network video caching policy in ICN, named StreamCache, catering to variable video contents with different sizes and bit rates. Our objective is improving the average throughput of users which consequently enhances the Quality of Experience (QoE), under the heterogeneity of users' devices and network conditions. StreamCache is a popularity-based policy, which operates distributively at routers, designed for the online processing in order to narrow the gap between the offline theoretical optimal solution and the real-world application. StreamCache operates in rounds, making caching decisions based on video request statistics and minimal cache coordination. We show that, StreamCache achieves near-optimal performance compared with the offline benchmark scheme, DASCache and outperforms current state-of-the-art protocols, such as ProbCache by presenting an elaborate evaluation carried out on ndnSIM, over NS-3.