Cache-Enabled Adaptive Video Streaming: A QoE-Based Evaluation Study

Dynamic Adaptive Streaming over HTTP (DASH) has prevailed as the dominant way of video transmission Internet. This technology is based on receiving small sequential segments from a server. However, one challenge that not been adequately examined obtainment in serves both needs network and improvement Quality Experience (QoE) users. One effective to achieve this implement study caching DASH technologies together. paper investigates issue by simulating with multiple servers client. It then implements peer-to-many communications context adaptive streaming server algorithm proposed criteria improve status and/or user. Specifically, we investigate scenario delivering DASH-based content help an intermediate server, apart main demonstrate possible benefits for different sizes storage servers. Extensive experimentation using emulation reveals interplay delicate balance between DASH, guiding such design decisions. A general tendency found that, available buffer size increases, playback quality increases some extent. at same time, linked random cache selection algorithm.