Adaptive Prefetching at Network Edge to Improve DASH QoE
Hema Kumar Yarnagula, Venkatesh Tamarapalli
Abstract
Hema Kumar Yarnagula, Venkatesh Tamarapalli
Abstract
In recent years, Dynamic Adaptive Streaming over HTTP (DASH) has emerged as a popular adaptive video streaming technique to improve the bandwidth utilization. Moreover, DASH with segment-based flexibility also brings a potential benefit for the end user's Quality of Experience (QoE)1. Despite the tremendous popularity of technology like DASH, video delivery over the mobile networks is still facing some serious challenges.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
In recent years, Dynamic Adaptive Streaming over HTTP (DASH) has emerged as a popular adaptive video streaming technique to improve the bandwidth utilization. Moreover, DASH with segment-based flexibility also brings a potential benefit for the end user's Quality of Experience (QoE)1. Despite the tremendous popularity of technology like DASH, video delivery over the mobile networks is still facing some serious challenges.
Key concepts: Dynamic Adaptive Streaming over HTTP, Dash, Computer science, Quality of experience, Popularity, Flexibility (engineering), Bandwidth (computing), Testbed