2020Unpublished venueRequires access

Adaptive Prefetching at Network Edge to Improve DASH QoE

Hema Kumar Yarnagula, Venkatesh Tamarapalli

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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.

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What this paper is about

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.

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Available 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.

Key concepts: Dynamic Adaptive Streaming over HTTP, Dash, Computer science, Quality of experience, Popularity, Flexibility (engineering), Bandwidth (computing), Testbed

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