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- W3131665863 abstract "Content delivery network (CDN) is an important infrastructure to transfer video traffic which is a major component of internet traffic. One hot topic in CDN field is load balancing mechanism, i.e. redirect users to CDN servers to efficiently utilize CDN resource. Most of related works try to provide available bandwidth or reduce delay to user as much as possible according to the CDN servers' heterogeneous available bandwidth or distance to users. However, recent works find that users' quality of experience (QoE) related not only to bandwidth and delay, but also to content of videos. Specifically, different video frames require different sizes to get the same quality of experience (QoE), and the gradients of frame size-QoE curves are various. Based on this observation, we propose a novel load balancing method in CDN by taking the above factors into account. Specifically, we build an optimization model and propose a corresponding heuristic method to explore the benefit of considering the influence of video content on QoE. The numerical results show that our method can improve users' overall QoE by more than 5% compared with the traditional methods." @default.
- W3131665863 created "2021-03-01" @default.
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- W3131665863 date "2020-12-11" @default.
- W3131665863 modified "2023-09-28" @default.
- W3131665863 title "Content-Aware Load Balancing in CDN Network" @default.
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- W3131665863 doi "https://doi.org/10.1109/iccc51575.2020.9345240" @default.
- W3131665863 hasPublicationYear "2020" @default.
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