Researchers at Imperial College London discovered a method for coded caching that enhances delivery of popular video content online.
Coded caching leverages resources network-wide, optimizing placement and delivery phases by creating opportunities for multicasting transmission, in which datagrams are routed concurrently to recipients in one transmission. "We consider that each video file consists of equal-length chunks, and the audience retention rate of each chunk is the fraction of users watching this chunk among total views of the corresponding video," the researchers say.
The team's dynamic demand arrival model, known as partial coded caching, considers that users start and stop watching a video at different points in time. The team also proposed two distinct cache allocation schemes, optimal cache allocation and popularity-based cache allocation, to apportion users' caches to different chunks of the video files in the library.
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